removing datasets + imports optimization

rl_coach/agents/actor_critic_agent.py

@@ -18,18 +18,17 @@ from typing import Union
 
 import numpy as np
 import scipy.signal
+
 from rl_coach.agents.policy_optimization_agent import PolicyOptimizationAgent, PolicyGradientRescaler
 from rl_coach.architectures.tensorflow_components.heads.policy_head import PolicyHeadParameters
 from rl_coach.architectures.tensorflow_components.heads.v_head import VHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, \
     AgentParameters, InputEmbedderParameters
-from rl_coach.core_types import QActionStateValue
-from rl_coach.spaces import DiscreteActionSpace
-from rl_coach.utils import last_sample
-
 from rl_coach.logger import screen
 from rl_coach.memories.episodic.single_episode_buffer import SingleEpisodeBufferParameters
+from rl_coach.spaces import DiscreteActionSpace
+from rl_coach.utils import last_sample
 
 
 class ActorCriticAlgorithmParameters(AlgorithmParameters):

rl_coach/agents/agent.py

@@ -20,20 +20,19 @@ from collections import OrderedDict
 from typing import Dict, List, Union, Tuple
 
 import numpy as np
+from pandas import read_pickle
+from six.moves import range
 
 from rl_coach.agents.agent_interface import AgentInterface
+from rl_coach.architectures.network_wrapper import NetworkWrapper
 from rl_coach.base_parameters import AgentParameters, DistributedTaskParameters
 from rl_coach.core_types import RunPhase, PredictionType, EnvironmentEpisodes, ActionType, Batch, Episode, StateType
 from rl_coach.core_types import Transition, ActionInfo, TrainingSteps, EnvironmentSteps, EnvResponse
-from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplay
-from pandas import read_pickle
-from six.moves import range
-from rl_coach.spaces import SpacesDefinition, VectorObservationSpace, GoalsSpace, AttentionActionSpace
-from rl_coach.utils import Signal, force_list, set_cpu
-from rl_coach.utils import dynamic_import_and_instantiate_module_from_params
-
-from rl_coach.architectures.network_wrapper import NetworkWrapper
 from rl_coach.logger import screen, Logger, EpisodeLogger
+from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplay
+from rl_coach.spaces import SpacesDefinition, VectorObservationSpace, GoalsSpace, AttentionActionSpace
+from rl_coach.utils import Signal, force_list
+from rl_coach.utils import dynamic_import_and_instantiate_module_from_params
 
 
 class Agent(AgentInterface):

rl_coach/agents/bc_agent.py

@@ -17,14 +17,14 @@
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.imitation_agent import ImitationAgent
 from rl_coach.architectures.tensorflow_components.heads.policy_head import PolicyHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
-from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
-
 from rl_coach.base_parameters import AgentParameters, AlgorithmParameters, NetworkParameters, InputEmbedderParameters, \
     MiddlewareScheme
 from rl_coach.exploration_policies.e_greedy import EGreedyParameters
+from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
 
 
 class BCAlgorithmParameters(AlgorithmParameters):

rl_coach/agents/bootstrapped_dqn_agent.py

@@ -17,9 +17,9 @@
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.dqn_agent import DQNAgentParameters, DQNNetworkParameters
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
-
 from rl_coach.exploration_policies.bootstrapped import BootstrappedParameters
 
 

rl_coach/agents/categorical_dqn_agent.py

@@ -17,15 +17,15 @@
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.dqn_agent import DQNNetworkParameters, DQNAlgorithmParameters
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
 from rl_coach.architectures.tensorflow_components.heads.categorical_q_head import CategoricalQHeadParameters
 from rl_coach.base_parameters import AgentParameters
-from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters
-from rl_coach.schedules import LinearSchedule
-
 from rl_coach.core_types import StateType
 from rl_coach.exploration_policies.e_greedy import EGreedyParameters
+from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters
+from rl_coach.schedules import LinearSchedule
 
 
 class CategoricalDQNNetworkParameters(DQNNetworkParameters):

rl_coach/agents/clipped_ppo_agent.py

@@ -20,21 +20,21 @@ from random import shuffle
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.actor_critic_agent import ActorCriticAgent
 from rl_coach.agents.policy_optimization_agent import PolicyGradientRescaler
+from rl_coach.architectures.tensorflow_components.heads.ppo_head import PPOHeadParameters
 from rl_coach.architectures.tensorflow_components.heads.v_head import VHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, \
     AgentParameters, InputEmbedderParameters
 from rl_coach.core_types import EnvironmentSteps, Batch, EnvResponse, StateType
 from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
+from rl_coach.logger import screen
 from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
 from rl_coach.schedules import ConstantSchedule
 from rl_coach.spaces import DiscreteActionSpace
 
-from rl_coach.architectures.tensorflow_components.heads.ppo_head import PPOHeadParameters
-from rl_coach.logger import screen
-
 
 class ClippedPPONetworkParameters(NetworkParameters):
     def __init__(self):

rl_coach/agents/composite_agent.py

@@ -20,15 +20,14 @@ from enum import Enum
 from typing import Union, List, Dict
 
 import numpy as np
+
 from rl_coach.agents.agent_interface import AgentInterface
 from rl_coach.base_parameters import AgentParameters, VisualizationParameters
-# from rl_coach.environments.environment_interface import ActionSpace
-from rl_coach.spaces import ActionSpace
-from rl_coach.spaces import AgentSelection, AttentionActionSpace, ObservationSpace, SpacesDefinition
-from rl_coach.utils import short_dynamic_import
-
 from rl_coach.core_types import ActionInfo, EnvResponse, ActionType, RunPhase
 from rl_coach.filters.observation.observation_crop_filter import ObservationCropFilter
+from rl_coach.spaces import ActionSpace
+from rl_coach.spaces import AgentSelection, AttentionActionSpace, SpacesDefinition
+from rl_coach.utils import short_dynamic_import
 
 
 class DecisionPolicy(object):

rl_coach/agents/ddpg_agent.py

@@ -19,19 +19,19 @@ from typing import Union
 from collections import OrderedDict
 
 import numpy as np
+
 from rl_coach.agents.actor_critic_agent import ActorCriticAgent
 from rl_coach.agents.agent import Agent
+from rl_coach.architectures.tensorflow_components.heads.ddpg_actor_head import DDPGActorHeadParameters
 from rl_coach.architectures.tensorflow_components.heads.v_head import VHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import NetworkParameters, AlgorithmParameters, \
     AgentParameters, InputEmbedderParameters, EmbedderScheme
+from rl_coach.core_types import ActionInfo, EnvironmentSteps
 from rl_coach.exploration_policies.ou_process import OUProcessParameters
 from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
 from rl_coach.spaces import BoxActionSpace, GoalsSpace
 
-from rl_coach.architectures.tensorflow_components.heads.ddpg_actor_head import DDPGActorHeadParameters
-from rl_coach.core_types import ActionInfo, EnvironmentSteps
-
 
 class DDPGCriticNetworkParameters(NetworkParameters):
     def __init__(self):

rl_coach/agents/ddqn_agent.py

@@ -17,11 +17,11 @@
 from typing import Union
 
 import numpy as np
-from rl_coach.schedules import LinearSchedule
 
 from rl_coach.agents.dqn_agent import DQNAgentParameters
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
 from rl_coach.core_types import EnvironmentSteps
+from rl_coach.schedules import LinearSchedule
 
 
 class DDQNAgentParameters(DQNAgentParameters):

rl_coach/agents/dfp_agent.py

@@ -19,19 +19,20 @@ from enum import Enum
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.agent import Agent
 from rl_coach.architectures.tensorflow_components.architecture import Conv2d, Dense
-from rl_coach.architectures.tensorflow_components.heads.measurements_prediction_head import MeasurementsPredictionHeadParameters
+from rl_coach.architectures.tensorflow_components.heads.measurements_prediction_head import \
+    MeasurementsPredictionHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, AgentParameters, NetworkParameters, \
     InputEmbedderParameters, MiddlewareScheme
+from rl_coach.core_types import ActionInfo, EnvironmentSteps, RunPhase
+from rl_coach.exploration_policies.e_greedy import EGreedyParameters
 from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
 from rl_coach.memories.memory import MemoryGranularity
 from rl_coach.spaces import SpacesDefinition, VectorObservationSpace
 
-from rl_coach.core_types import ActionInfo, EnvironmentSteps, RunPhase
-from rl_coach.exploration_policies.e_greedy import EGreedyParameters
-
 
 class HandlingTargetsAfterEpisodeEnd(Enum):
     LastStep = 0

rl_coach/agents/dqn_agent.py

@@ -17,16 +17,16 @@
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
 from rl_coach.architectures.tensorflow_components.heads.q_head import QHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, AgentParameters, \
     InputEmbedderParameters, MiddlewareScheme
-from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters
-from rl_coach.schedules import LinearSchedule
-
 from rl_coach.core_types import EnvironmentSteps
 from rl_coach.exploration_policies.e_greedy import EGreedyParameters
+from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters
+from rl_coach.schedules import LinearSchedule
 
 
 class DQNAlgorithmParameters(AlgorithmParameters):

rl_coach/agents/hac_ddpg_agent.py

@@ -17,7 +17,6 @@
 from typing import Union
 
 import numpy as np
-import copy
 
 from rl_coach.agents.ddpg_agent import DDPGAgent, DDPGAgentParameters, DDPGAlgorithmParameters
 from rl_coach.core_types import RunPhase

rl_coach/agents/human_agent.py

@@ -19,6 +19,8 @@ from collections import OrderedDict
 from typing import Union
 
 import pygame
+from pandas import to_pickle
+
 from rl_coach.agents.agent import Agent
 from rl_coach.agents.bc_agent import BCNetworkParameters
 from rl_coach.architectures.tensorflow_components.heads.policy_head import PolicyHeadParameters
@@ -26,11 +28,9 @@ from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware impo
 from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, InputEmbedderParameters, EmbedderScheme, \
     AgentParameters
 from rl_coach.core_types import ActionInfo
-from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
-from pandas import to_pickle
-
 from rl_coach.exploration_policies.e_greedy import EGreedyParameters
 from rl_coach.logger import screen
+from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
 
 
 class HumanAlgorithmParameters(AlgorithmParameters):

rl_coach/agents/imitation_agent.py

@@ -17,11 +17,10 @@
 from collections import OrderedDict
 from typing import Union
 
-from rl_coach.core_types import RunPhase, ActionInfo
-from rl_coach.spaces import DiscreteActionSpace
-
 from rl_coach.agents.agent import Agent
+from rl_coach.core_types import RunPhase, ActionInfo
 from rl_coach.logger import screen
+from rl_coach.spaces import DiscreteActionSpace
 
 
 ## This is an abstract agent - there is no learn_from_batch method ##

rl_coach/agents/n_step_q_agent.py

@@ -17,17 +17,17 @@
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.policy_optimization_agent import PolicyOptimizationAgent
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
 from rl_coach.architectures.tensorflow_components.heads.q_head import QHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, AgentParameters, NetworkParameters, \
     InputEmbedderParameters
-from rl_coach.exploration_policies.e_greedy import EGreedyParameters
-from rl_coach.utils import last_sample
-
 from rl_coach.core_types import EnvironmentSteps
+from rl_coach.exploration_policies.e_greedy import EGreedyParameters
 from rl_coach.memories.episodic.single_episode_buffer import SingleEpisodeBufferParameters
+from rl_coach.utils import last_sample
 
 
 class NStepQNetworkParameters(NetworkParameters):

rl_coach/agents/naf_agent.py

@@ -17,16 +17,16 @@
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
 from rl_coach.architectures.tensorflow_components.heads.naf_head import NAFHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, AgentParameters, \
     NetworkParameters, InputEmbedderParameters
-from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
-from rl_coach.spaces import BoxActionSpace
-
 from rl_coach.core_types import ActionInfo, EnvironmentSteps
 from rl_coach.exploration_policies.ou_process import OUProcessParameters
+from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
+from rl_coach.spaces import BoxActionSpace
 
 
 class NAFNetworkParameters(NetworkParameters):

rl_coach/agents/nec_agent.py

@@ -19,17 +19,17 @@ import pickle
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
 from rl_coach.architectures.tensorflow_components.heads.dnd_q_head import DNDQHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, AgentParameters, \
     InputEmbedderParameters
 from rl_coach.core_types import RunPhase, EnvironmentSteps, Episode, StateType
-from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters, MemoryGranularity
-from rl_coach.schedules import ConstantSchedule
-
 from rl_coach.exploration_policies.e_greedy import EGreedyParameters
 from rl_coach.logger import screen
+from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters, MemoryGranularity
+from rl_coach.schedules import ConstantSchedule
 
 
 class NECNetworkParameters(NetworkParameters):

rl_coach/agents/pal_agent.py

@@ -20,8 +20,7 @@ import numpy as np
 
 from rl_coach.agents.dqn_agent import DQNAgentParameters, DQNAlgorithmParameters
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
-from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplay, \
+from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
-    EpisodicExperienceReplayParameters
 
 
 class PALAlgorithmParameters(DQNAlgorithmParameters):

rl_coach/agents/policy_gradients_agent.py

@@ -17,16 +17,16 @@
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.policy_optimization_agent import PolicyOptimizationAgent, PolicyGradientRescaler
 from rl_coach.architectures.tensorflow_components.heads.policy_head import PolicyHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import NetworkParameters, AlgorithmParameters, \
     AgentParameters, InputEmbedderParameters
 from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
-from rl_coach.spaces import DiscreteActionSpace
-
 from rl_coach.logger import screen
 from rl_coach.memories.episodic.single_episode_buffer import SingleEpisodeBufferParameters
+from rl_coach.spaces import DiscreteActionSpace
 
 
 class PolicyGradientNetworkParameters(NetworkParameters):

rl_coach/agents/policy_optimization_agent.py

@@ -19,12 +19,12 @@ from enum import Enum
 from typing import Union
 
 import numpy as np
-from rl_coach.core_types import Batch, ActionInfo
-from rl_coach.spaces import DiscreteActionSpace, BoxActionSpace
-from rl_coach.utils import eps
 
 from rl_coach.agents.agent import Agent
+from rl_coach.core_types import Batch, ActionInfo
 from rl_coach.logger import screen
+from rl_coach.spaces import DiscreteActionSpace, BoxActionSpace
+from rl_coach.utils import eps
 
 
 class PolicyGradientRescaler(Enum):

rl_coach/agents/ppo_agent.py

@@ -19,21 +19,21 @@ from collections import OrderedDict
 from typing import Union
 
 import numpy as np
+
 from rl_coach.agents.actor_critic_agent import ActorCriticAgent
 from rl_coach.agents.policy_optimization_agent import PolicyGradientRescaler
+from rl_coach.architectures.tensorflow_components.heads.ppo_head import PPOHeadParameters
 from rl_coach.architectures.tensorflow_components.heads.v_head import VHeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, \
     AgentParameters, InputEmbedderParameters, DistributedTaskParameters
 from rl_coach.core_types import EnvironmentSteps, Batch
 from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
+from rl_coach.logger import screen
 from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
 from rl_coach.spaces import DiscreteActionSpace
 from rl_coach.utils import force_list
 
-from rl_coach.architectures.tensorflow_components.heads.ppo_head import PPOHeadParameters
-from rl_coach.logger import screen
-
 
 class PPOCriticNetworkParameters(NetworkParameters):
     def __init__(self):

rl_coach/agents/qr_dqn_agent.py

@@ -17,12 +17,13 @@
 from typing import Union
 
 import numpy as np
-from rl_coach.architectures.tensorflow_components.heads.quantile_regression_q_head import QuantileRegressionQHeadParameters
-from rl_coach.schedules import LinearSchedule
 
 from rl_coach.agents.dqn_agent import DQNAgentParameters, DQNNetworkParameters, DQNAlgorithmParameters
 from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
+from rl_coach.architectures.tensorflow_components.heads.quantile_regression_q_head import \
+    QuantileRegressionQHeadParameters
 from rl_coach.core_types import StateType
+from rl_coach.schedules import LinearSchedule
 
 
 class QuantileRegressionDQNNetworkParameters(DQNNetworkParameters):

rl_coach/agents/value_optimization_agent.py

@@ -17,11 +17,11 @@
 from typing import Union
 
 import numpy as np
-from rl_coach.memories.non_episodic.prioritized_experience_replay import PrioritizedExperienceReplay
-from rl_coach.spaces import DiscreteActionSpace
 
 from rl_coach.agents.agent import Agent
 from rl_coach.core_types import ActionInfo, StateType
+from rl_coach.memories.non_episodic.prioritized_experience_replay import PrioritizedExperienceReplay
+from rl_coach.spaces import DiscreteActionSpace
 
 
 ## This is an abstract agent - there is no learn_from_batch method ##

rl_coach/architectures/network_wrapper.py

@@ -17,9 +17,8 @@
 from typing import List, Tuple
 
 from rl_coach.base_parameters import Frameworks, AgentParameters
-from rl_coach.spaces import SpacesDefinition
-
 from rl_coach.logger import failed_imports
+from rl_coach.spaces import SpacesDefinition
 
 try:
     import tensorflow as tf

rl_coach/architectures/tensorflow_components/architecture.py

@@ -19,12 +19,12 @@ from typing import List
 
 import numpy as np
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters, DistributedTaskParameters
-from rl_coach.spaces import SpacesDefinition
-from rl_coach.utils import force_list, squeeze_list
 
 from rl_coach.architectures.architecture import Architecture
+from rl_coach.base_parameters import AgentParameters, DistributedTaskParameters
 from rl_coach.core_types import GradientClippingMethod
+from rl_coach.spaces import SpacesDefinition
+from rl_coach.utils import force_list, squeeze_list
 
 
 def batchnorm_activation_dropout(input_layer, batchnorm, activation_function, dropout, dropout_rate, layer_idx):

rl_coach/architectures/tensorflow_components/embedders/embedder.py

@@ -18,10 +18,9 @@ from typing import List, Union
 
 import numpy as np
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.shared_variables import SharedRunningStats
-from rl_coach.base_parameters import EmbedderScheme
 
 from rl_coach.architectures.tensorflow_components.architecture import batchnorm_activation_dropout
+from rl_coach.base_parameters import EmbedderScheme
 from rl_coach.core_types import InputEmbedding
 
 

rl_coach/architectures/tensorflow_components/embedders/image_embedder.py

@@ -17,10 +17,10 @@
 from typing import List
 
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.architecture import Conv2d
-from rl_coach.base_parameters import EmbedderScheme
 
+from rl_coach.architectures.tensorflow_components.architecture import Conv2d
 from rl_coach.architectures.tensorflow_components.embedders.embedder import InputEmbedder
+from rl_coach.base_parameters import EmbedderScheme
 from rl_coach.core_types import InputImageEmbedding
 
 

rl_coach/architectures/tensorflow_components/embedders/vector_embedder.py

@@ -17,10 +17,10 @@
 from typing import List
 
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.architecture import Dense
-from rl_coach.base_parameters import EmbedderScheme
 
+from rl_coach.architectures.tensorflow_components.architecture import Dense
 from rl_coach.architectures.tensorflow_components.embedders.embedder import InputEmbedder
+from rl_coach.base_parameters import EmbedderScheme
 from rl_coach.core_types import InputVectorEmbedding
 
 

rl_coach/architectures/tensorflow_components/general_network.py

@@ -19,15 +19,15 @@ from typing import Dict
 
 import numpy as np
 import tensorflow as tf
+
+from rl_coach.architectures.tensorflow_components.architecture import TensorFlowArchitecture
 from rl_coach.architectures.tensorflow_components.heads.head import HeadParameters
 from rl_coach.architectures.tensorflow_components.middlewares.middleware import MiddlewareParameters
 from rl_coach.base_parameters import AgentParameters, InputEmbedderParameters, EmbeddingMergerType
+from rl_coach.core_types import PredictionType
 from rl_coach.spaces import SpacesDefinition, PlanarMapsObservationSpace
 from rl_coach.utils import get_all_subclasses, dynamic_import_and_instantiate_module_from_params
 
-from rl_coach.architectures.tensorflow_components.architecture import TensorFlowArchitecture
-from rl_coach.core_types import PredictionType
-
 
 class GeneralTensorFlowNetwork(TensorFlowArchitecture):
     """

rl_coach/architectures/tensorflow_components/heads/categorical_q_head.py

@@ -15,11 +15,11 @@
 #
 
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import SpacesDefinition
 
 from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.core_types import QActionStateValue
+from rl_coach.spaces import SpacesDefinition
 
 
 class CategoricalQHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/ddpg_actor_head.py

@@ -15,13 +15,12 @@
 #
 
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.architecture import batchnorm_activation_dropout
 
+from rl_coach.architectures.tensorflow_components.architecture import batchnorm_activation_dropout
 from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters
 from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import SpacesDefinition
-
 from rl_coach.core_types import ActionProbabilities
+from rl_coach.spaces import SpacesDefinition
 
 
 class DDPGActorHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/dnd_q_head.py

@@ -14,12 +14,12 @@
 # limitations under the License.
 #
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.heads.head import HeadParameters
 
-from rl_coach.base_parameters import AgentParameters
+from rl_coach.architectures.tensorflow_components.heads.head import HeadParameters
 from rl_coach.architectures.tensorflow_components.heads.q_head import QHead
-from rl_coach.spaces import SpacesDefinition
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.memories.non_episodic import differentiable_neural_dictionary
+from rl_coach.spaces import SpacesDefinition
 
 
 class DNDQHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/dueling_q_head.py

@@ -15,10 +15,10 @@
 #
 
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.heads.head import HeadParameters
 
-from rl_coach.base_parameters import AgentParameters
+from rl_coach.architectures.tensorflow_components.heads.head import HeadParameters
 from rl_coach.architectures.tensorflow_components.heads.q_head import QHead
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.spaces import SpacesDefinition
 
 

rl_coach/architectures/tensorflow_components/heads/head.py

@@ -17,10 +17,10 @@ from typing import Type
 
 import numpy as np
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters, Parameters
-from rl_coach.spaces import SpacesDefinition
 from tensorflow.python.ops.losses.losses_impl import Reduction
 
+from rl_coach.base_parameters import AgentParameters, Parameters
+from rl_coach.spaces import SpacesDefinition
 from rl_coach.utils import force_list
 
 

rl_coach/architectures/tensorflow_components/heads/measurements_prediction_head.py

@@ -15,11 +15,11 @@
 #
 
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import SpacesDefinition
 
 from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.core_types import Measurements
+from rl_coach.spaces import SpacesDefinition
 
 
 class MeasurementsPredictionHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/naf_head.py

@@ -15,12 +15,12 @@
 #
 
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import BoxActionSpace
-from rl_coach.spaces import SpacesDefinition
 
 from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.core_types import QActionStateValue
+from rl_coach.spaces import BoxActionSpace
+from rl_coach.spaces import SpacesDefinition
 
 
 class NAFHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/policy_head.py

@@ -16,15 +16,15 @@
 
 import numpy as np
 import tensorflow as tf
+
 from rl_coach.architectures.tensorflow_components.heads.head import Head, normalized_columns_initializer, HeadParameters
 from rl_coach.base_parameters import AgentParameters
+from rl_coach.core_types import ActionProbabilities
+from rl_coach.exploration_policies.continuous_entropy import ContinuousEntropyParameters
 from rl_coach.spaces import DiscreteActionSpace, BoxActionSpace, CompoundActionSpace
 from rl_coach.spaces import SpacesDefinition
 from rl_coach.utils import eps
 
-from rl_coach.core_types import ActionProbabilities
-from rl_coach.exploration_policies.continuous_entropy import ContinuousEntropyParameters
-
 
 class PolicyHeadParameters(HeadParameters):
     def __init__(self, activation_function: str ='tanh', name: str='policy_head_params'):

rl_coach/architectures/tensorflow_components/heads/ppo_head.py

@@ -16,14 +16,14 @@
 
 import numpy as np
 import tensorflow as tf
+
+from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters, normalized_columns_initializer
 from rl_coach.base_parameters import AgentParameters
+from rl_coach.core_types import ActionProbabilities
 from rl_coach.spaces import BoxActionSpace, DiscreteActionSpace
 from rl_coach.spaces import SpacesDefinition
 from rl_coach.utils import eps
 
-from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters, normalized_columns_initializer
-from rl_coach.core_types import ActionProbabilities
-
 
 class PPOHeadParameters(HeadParameters):
     def __init__(self, activation_function: str ='tanh', name: str='ppo_head_params'):

rl_coach/architectures/tensorflow_components/heads/ppo_v_head.py

@@ -15,11 +15,11 @@
 #
 
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import SpacesDefinition
 
 from rl_coach.architectures.tensorflow_components.heads.head import Head, normalized_columns_initializer, HeadParameters
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.core_types import ActionProbabilities
+from rl_coach.spaces import SpacesDefinition
 
 
 class PPOVHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/q_head.py

@@ -15,11 +15,11 @@
 #
 
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import SpacesDefinition, BoxActionSpace, DiscreteActionSpace
 
 from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.core_types import QActionStateValue
+from rl_coach.spaces import SpacesDefinition, BoxActionSpace, DiscreteActionSpace
 
 
 class QHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/quantile_regression_q_head.py

@@ -15,11 +15,11 @@
 #
 
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import SpacesDefinition
 
 from rl_coach.architectures.tensorflow_components.heads.head import Head, HeadParameters
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.core_types import QActionStateValue
+from rl_coach.spaces import SpacesDefinition
 
 
 class QuantileRegressionQHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/heads/v_head.py

@@ -15,11 +15,11 @@
 #
 
 import tensorflow as tf
-from rl_coach.base_parameters import AgentParameters
-from rl_coach.spaces import SpacesDefinition
 
 from rl_coach.architectures.tensorflow_components.heads.head import Head, normalized_columns_initializer, HeadParameters
+from rl_coach.base_parameters import AgentParameters
 from rl_coach.core_types import VStateValue
+from rl_coach.spaces import SpacesDefinition
 
 
 class VHeadParameters(HeadParameters):

rl_coach/architectures/tensorflow_components/middlewares/fc_middleware.py

@@ -16,10 +16,10 @@
 from typing import Union, List
 
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.middlewares.middleware import Middleware, MiddlewareParameters
-from rl_coach.base_parameters import MiddlewareScheme
 
 from rl_coach.architectures.tensorflow_components.architecture import batchnorm_activation_dropout, Dense
+from rl_coach.architectures.tensorflow_components.middlewares.middleware import Middleware, MiddlewareParameters
+from rl_coach.base_parameters import MiddlewareScheme
 from rl_coach.core_types import Middleware_FC_Embedding
 
 

rl_coach/architectures/tensorflow_components/middlewares/lstm_middleware.py

@@ -17,10 +17,10 @@
 
 import numpy as np
 import tensorflow as tf
-from rl_coach.architectures.tensorflow_components.middlewares.middleware import Middleware, MiddlewareParameters
-from rl_coach.base_parameters import MiddlewareScheme
 
 from rl_coach.architectures.tensorflow_components.architecture import batchnorm_activation_dropout
+from rl_coach.architectures.tensorflow_components.middlewares.middleware import Middleware, MiddlewareParameters
+from rl_coach.base_parameters import MiddlewareScheme
 from rl_coach.core_types import Middleware_LSTM_Embedding
 
 

rl_coach/architectures/tensorflow_components/middlewares/middleware.py

@@ -16,8 +16,8 @@
 from typing import Type, Union, List
 
 import tensorflow as tf
-from rl_coach.base_parameters import MiddlewareScheme, Parameters
 
+from rl_coach.base_parameters import MiddlewareScheme, Parameters
 from rl_coach.core_types import MiddlewareEmbedding
 
 

rl_coach/core_types.py

@@ -15,12 +15,12 @@
 #
 
 
+import copy
 from enum import Enum
-from typing import List, Union, Dict, Any, Type
 from random import shuffle
+from typing import List, Union, Dict, Any, Type
 
 import numpy as np
-import copy
 
 ActionType = Union[int, float, np.ndarray, List]
 GoalType = Union[None, np.ndarray]

rl_coach/debug_utils.py

@@ -18,6 +18,7 @@ import math
 
 import matplotlib.pyplot as plt
 import numpy as np
+
 from rl_coach.filters.observation.observation_stacking_filter import LazyStack
 
 

rl_coach/environments/carla_environment.py

@@ -1,10 +1,25 @@
+#
+# Copyright (c) 2017 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
 import random
 import sys
 from os import path, environ
 
-from rl_coach.filters.observation.observation_to_uint8_filter import ObservationToUInt8Filter
-
 from rl_coach.filters.observation.observation_rgb_to_y_filter import ObservationRGBToYFilter
+from rl_coach.filters.observation.observation_to_uint8_filter import ObservationToUInt8Filter
 
 try:
     if 'CARLA_ROOT' in environ:

rl_coach/environments/doom_environment.py

@@ -26,18 +26,18 @@ from os import path, environ
 from typing import Union, List
 
 import numpy as np
+
 from rl_coach.base_parameters import VisualizationParameters
 from rl_coach.environments.environment import Environment, EnvironmentParameters, LevelSelection
 from rl_coach.filters.action.full_discrete_action_space_map import FullDiscreteActionSpaceMap
 from rl_coach.filters.filter import InputFilter, OutputFilter
 from rl_coach.filters.observation.observation_rescale_to_size_filter import ObservationRescaleToSizeFilter
+from rl_coach.filters.observation.observation_rgb_to_y_filter import ObservationRGBToYFilter
 from rl_coach.filters.observation.observation_stacking_filter import ObservationStackingFilter
 from rl_coach.filters.observation.observation_to_uint8_filter import ObservationToUInt8Filter
 from rl_coach.spaces import MultiSelectActionSpace, ImageObservationSpace, \
     VectorObservationSpace, StateSpace
 
-from rl_coach.filters.observation.observation_rgb_to_y_filter import ObservationRGBToYFilter
-
 
 # enum of the available levels and their path
 class DoomLevel(Enum):

rl_coach/environments/environment.py

@@ -20,17 +20,17 @@ from collections import OrderedDict
 from typing import Union, List, Tuple, Dict
 
 import numpy as np
+
+from rl_coach import logger
 from rl_coach.base_parameters import Parameters
 from rl_coach.base_parameters import VisualizationParameters
 from rl_coach.core_types import GoalType, ActionType, EnvResponse, RunPhase
+from rl_coach.environments.environment_interface import EnvironmentInterface
+from rl_coach.logger import screen
 from rl_coach.renderer import Renderer
 from rl_coach.spaces import ActionSpace, ObservationSpace, DiscreteActionSpace, RewardSpace, StateSpace
 from rl_coach.utils import squeeze_list, force_list
 
-from rl_coach import logger
-from rl_coach.environments.environment_interface import EnvironmentInterface
-from rl_coach.logger import screen
-
 
 class LevelSelection(object):
     def __init__(self, level: str):

rl_coach/environments/environment_interface.py

@@ -16,9 +16,8 @@
 
 from typing import Union, Dict
 
-from rl_coach.spaces import ActionSpace
-
 from rl_coach.core_types import ActionType, EnvResponse, RunPhase
+from rl_coach.spaces import ActionSpace
 
 
 class EnvironmentInterface(object):

rl_coach/environments/mujoco/pendulum_with_goals.py

@@ -1,9 +1,25 @@
-import numpy as np
+#
-import gym
+# Copyright (c) 2017 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
 import os
+
+import gym
+import numpy as np
 from gym import spaces
 from gym.envs.registration import EnvSpec
-
 from mujoco_py import load_model_from_path, MjSim, MjViewer, MjRenderContextOffscreen
 
 

rl_coach/environments/starcraft2_environment.py

@@ -19,6 +19,7 @@ from enum import Enum
 from typing import Union, List
 
 import numpy as np
+
 from rl_coach.filters.observation.observation_move_axis_filter import ObservationMoveAxisFilter
 
 try:

rl_coach/environments/toy_problems/bit_flip.py

@@ -1,8 +1,25 @@
-import numpy as np
+#
-import gym
+# Copyright (c) 2017 Intel Corporation
-from gym import spaces
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
 import random
 
+import gym
+import numpy as np
+from gym import spaces
+
 
 class BitFlip(gym.Env):
     metadata = {

rl_coach/environments/toy_problems/exploration_chain.py

@@ -1,8 +1,25 @@
-import numpy as np
+#
-import gym
+# Copyright (c) 2017 Intel Corporation
-from gym import spaces
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
 from enum import Enum
 
+import gym
+import numpy as np
+from gym import spaces
+
 
 class ExplorationChain(gym.Env):
     metadata = {

rl_coach/exploration_policies/additive_noise.py

@@ -17,11 +17,11 @@
 from typing import List
 
 import numpy as np
-from rl_coach.schedules import Schedule, LinearSchedule
-from rl_coach.spaces import ActionSpace, BoxActionSpace
 
 from rl_coach.core_types import RunPhase, ActionType
 from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
+from rl_coach.schedules import Schedule, LinearSchedule
+from rl_coach.spaces import ActionSpace, BoxActionSpace
 
 
 # TODO: consider renaming to gaussian sampling

rl_coach/exploration_policies/boltzmann.py

@@ -17,11 +17,11 @@
 from typing import List
 
 import numpy as np
-from rl_coach.schedules import Schedule
-from rl_coach.spaces import ActionSpace
 
 from rl_coach.core_types import RunPhase, ActionType
 from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
+from rl_coach.schedules import Schedule
+from rl_coach.spaces import ActionSpace
 
 
 class BoltzmannParameters(ExplorationParameters):

rl_coach/exploration_policies/bootstrapped.py

@@ -17,13 +17,13 @@
 from typing import List
 
 import numpy as np
-from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
-from rl_coach.exploration_policies.e_greedy import EGreedy, EGreedyParameters
-from rl_coach.schedules import Schedule, LinearSchedule
-from rl_coach.spaces import ActionSpace
 
 from rl_coach.core_types import RunPhase, ActionType
+from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
+from rl_coach.exploration_policies.e_greedy import EGreedy, EGreedyParameters
 from rl_coach.exploration_policies.exploration_policy import ExplorationParameters
+from rl_coach.schedules import Schedule, LinearSchedule
+from rl_coach.spaces import ActionSpace
 
 
 class BootstrappedParameters(EGreedyParameters):

rl_coach/exploration_policies/categorical.py

@@ -17,10 +17,10 @@
 from typing import List
 
 import numpy as np
-from rl_coach.spaces import ActionSpace
 
 from rl_coach.core_types import RunPhase, ActionType
 from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
+from rl_coach.spaces import ActionSpace
 
 
 class CategoricalParameters(ExplorationParameters):

rl_coach/exploration_policies/e_greedy.py

@@ -17,15 +17,15 @@
 from typing import List
 
 import numpy as np
+
+from rl_coach.core_types import RunPhase, ActionType
 from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
+from rl_coach.exploration_policies.exploration_policy import ExplorationParameters
+from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy
 from rl_coach.schedules import Schedule, LinearSchedule
 from rl_coach.spaces import ActionSpace, DiscreteActionSpace, BoxActionSpace
 from rl_coach.utils import dynamic_import_and_instantiate_module_from_params
 
-from rl_coach.core_types import RunPhase, ActionType
-from rl_coach.exploration_policies.exploration_policy import ExplorationParameters
-from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy
-
 
 class EGreedyParameters(ExplorationParameters):
     def __init__(self):

rl_coach/exploration_policies/exploration_policy.py

@@ -17,9 +17,8 @@
 from typing import List
 
 from rl_coach.base_parameters import Parameters
-from rl_coach.spaces import ActionSpace
-
 from rl_coach.core_types import RunPhase, ActionType
+from rl_coach.spaces import ActionSpace
 
 
 class ExplorationParameters(Parameters):

rl_coach/exploration_policies/greedy.py

@@ -17,10 +17,10 @@
 from typing import List
 
 import numpy as np
-from rl_coach.spaces import ActionSpace, DiscreteActionSpace, BoxActionSpace
 
 from rl_coach.core_types import ActionType
 from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
+from rl_coach.spaces import ActionSpace, DiscreteActionSpace, BoxActionSpace
 
 
 class GreedyParameters(ExplorationParameters):

rl_coach/exploration_policies/ou_process.py

@@ -17,10 +17,10 @@
 from typing import List
 
 import numpy as np
-from rl_coach.spaces import ActionSpace, BoxActionSpace, GoalsSpace
 
 from rl_coach.core_types import RunPhase, ActionType
 from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
+from rl_coach.spaces import ActionSpace, BoxActionSpace, GoalsSpace
 
 
 # Based on on the description in:

rl_coach/exploration_policies/truncated_normal.py

@@ -17,12 +17,12 @@
 from typing import List
 
 import numpy as np
-from rl_coach.schedules import Schedule, LinearSchedule
 from scipy.stats import truncnorm
-from rl_coach.spaces import ActionSpace, BoxActionSpace
 
 from rl_coach.core_types import RunPhase, ActionType
 from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
+from rl_coach.schedules import Schedule, LinearSchedule
+from rl_coach.spaces import ActionSpace, BoxActionSpace
 
 
 class TruncatedNormalParameters(ExplorationParameters):

rl_coach/exploration_policies/ucb.py

@@ -17,13 +17,13 @@
 from typing import List
 
 import numpy as np
-from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
-from rl_coach.exploration_policies.e_greedy import EGreedy, EGreedyParameters
-from rl_coach.schedules import Schedule, LinearSchedule, PieceWiseSchedule
-from rl_coach.spaces import ActionSpace
 
 from rl_coach.core_types import RunPhase, ActionType, EnvironmentSteps
+from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
+from rl_coach.exploration_policies.e_greedy import EGreedy, EGreedyParameters
 from rl_coach.exploration_policies.exploration_policy import ExplorationParameters
+from rl_coach.schedules import Schedule, LinearSchedule, PieceWiseSchedule
+from rl_coach.spaces import ActionSpace
 
 
 class UCBParameters(EGreedyParameters):

rl_coach/filters/action/action_filter.py

@@ -14,10 +14,9 @@
 # limitations under the License.
 #
 
-from rl_coach.spaces import ActionSpace
-
 from rl_coach.core_types import ActionType
 from rl_coach.filters.filter import Filter
+from rl_coach.spaces import ActionSpace
 
 
 class ActionFilter(Filter):

rl_coach/filters/action/attention_discretization.py

@@ -17,8 +17,8 @@
 from typing import Union, List
 
 import numpy as np
-from rl_coach.filters.action.box_discretization import BoxDiscretization
 
+from rl_coach.filters.action.box_discretization import BoxDiscretization
 from rl_coach.filters.action.partial_discrete_action_space_map import PartialDiscreteActionSpaceMap
 from rl_coach.spaces import AttentionActionSpace, BoxActionSpace, DiscreteActionSpace
 

rl_coach/filters/action/box_masking.py

@@ -17,10 +17,10 @@
 from typing import Union
 
 import numpy as np
-from rl_coach.spaces import BoxActionSpace
 
 from rl_coach.core_types import ActionType
 from rl_coach.filters.action.action_filter import ActionFilter
+from rl_coach.spaces import BoxActionSpace
 
 
 class BoxMasking(ActionFilter):

rl_coach/filters/action/linear_box_to_box_map.py

@@ -17,10 +17,10 @@
 from typing import Union
 
 import numpy as np
-from rl_coach.spaces import BoxActionSpace
 
 from rl_coach.core_types import ActionType
 from rl_coach.filters.action.action_filter import ActionFilter
+from rl_coach.spaces import BoxActionSpace
 
 
 class LinearBoxToBoxMap(ActionFilter):

rl_coach/filters/action/partial_discrete_action_space_map.py

@@ -16,10 +16,9 @@
 
 from typing import List
 
-from rl_coach.spaces import DiscreteActionSpace, ActionSpace
-
 from rl_coach.core_types import ActionType
 from rl_coach.filters.action.action_filter import ActionFilter
+from rl_coach.spaces import DiscreteActionSpace, ActionSpace
 
 
 class PartialDiscreteActionSpaceMap(ActionFilter):

rl_coach/filters/filter.py

@@ -19,8 +19,8 @@ from collections import OrderedDict
 from copy import deepcopy
 from typing import Dict, Union, List
 
-from rl_coach.spaces import ActionSpace, RewardSpace, ObservationSpace
 from rl_coach.core_types import EnvResponse, ActionInfo, Transition
+from rl_coach.spaces import ActionSpace, RewardSpace, ObservationSpace
 from rl_coach.utils import force_list
 
 

rl_coach/filters/observation/observation_clipping_filter.py

@@ -16,10 +16,10 @@
 
 
 import numpy as np
-from rl_coach.spaces import ObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 class ObservationClippingFilter(ObservationFilter):

rl_coach/filters/observation/observation_crop_filter.py

@@ -16,10 +16,10 @@
 from typing import Union, Tuple
 
 import numpy as np
-from rl_coach.spaces import ObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 class ObservationCropFilter(ObservationFilter):

rl_coach/filters/observation/observation_move_axis_filter.py

@@ -15,10 +15,10 @@
 #
 
 import numpy as np
-from rl_coach.spaces import ObservationSpace, PlanarMapsObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace, PlanarMapsObservationSpace
 
 
 class ObservationMoveAxisFilter(ObservationFilter):

rl_coach/filters/observation/observation_normalization_filter.py

@@ -16,11 +16,11 @@
 from typing import List
 
 import numpy as np
-from rl_coach.spaces import ObservationSpace
 
 from rl_coach.architectures.tensorflow_components.shared_variables import SharedRunningStats
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 class ObservationNormalizationFilter(ObservationFilter):

rl_coach/filters/observation/observation_reduction_by_sub_parts_name_filter.py

@@ -17,10 +17,9 @@ import copy
 from enum import Enum
 from typing import List
 
-from rl_coach.spaces import ObservationSpace, VectorObservationSpace
-
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace, VectorObservationSpace
 
 
 class ObservationReductionBySubPartsNameFilter(ObservationFilter):

rl_coach/filters/observation/observation_rescale_size_by_factor_filter.py

@@ -17,10 +17,10 @@
 from enum import Enum
 
 import scipy.ndimage
-from rl_coach.spaces import ObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 # imresize interpolation types as defined by scipy here:

rl_coach/filters/observation/observation_rescale_to_size_filter.py

@@ -19,10 +19,10 @@ from enum import Enum
 
 import numpy as np
 import scipy.ndimage
-from rl_coach.spaces import ObservationSpace, PlanarMapsObservationSpace, ImageObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace, PlanarMapsObservationSpace, ImageObservationSpace
 
 
 # imresize interpolation types as defined by scipy here:

rl_coach/filters/observation/observation_rgb_to_y_filter.py

@@ -14,10 +14,9 @@
 # limitations under the License.
 #
 
-from rl_coach.spaces import ObservationSpace
-
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 class ObservationRGBToYFilter(ObservationFilter):

rl_coach/filters/observation/observation_squeeze_filter.py

@@ -15,10 +15,10 @@
 #
 
 import numpy as np
-from rl_coach.spaces import ObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 class ObservationSqueezeFilter(ObservationFilter):

rl_coach/filters/observation/observation_stacking_filter.py

@@ -18,10 +18,10 @@ import copy
 from collections import deque
 
 import numpy as np
-from rl_coach.spaces import ObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 class LazyStack(object):

rl_coach/filters/observation/observation_to_uint8_filter.py

@@ -15,10 +15,10 @@
 #
 
 import numpy as np
-from rl_coach.spaces import ObservationSpace
 
 from rl_coach.core_types import ObservationType
 from rl_coach.filters.observation.observation_filter import ObservationFilter
+from rl_coach.spaces import ObservationSpace
 
 
 class ObservationToUInt8Filter(ObservationFilter):

rl_coach/filters/reward/reward_clipping_filter.py

@@ -15,10 +15,10 @@
 #
 
 import numpy as np
-from rl_coach.spaces import RewardSpace
 
 from rl_coach.core_types import RewardType
 from rl_coach.filters.reward.reward_filter import RewardFilter
+from rl_coach.spaces import RewardSpace
 
 
 class RewardClippingFilter(RewardFilter):

rl_coach/filters/reward/reward_normalization_filter.py

@@ -16,11 +16,11 @@
 
 
 import numpy as np
-from rl_coach.spaces import RewardSpace
 
 from rl_coach.architectures.tensorflow_components.shared_variables import SharedRunningStats
 from rl_coach.core_types import RewardType
 from rl_coach.filters.reward.reward_filter import RewardFilter
+from rl_coach.spaces import RewardSpace
 
 
 class RewardNormalizationFilter(RewardFilter):

rl_coach/filters/reward/reward_rescale_filter.py

@@ -14,10 +14,9 @@
 # limitations under the License.
 #
 
-from rl_coach.spaces import RewardSpace
-
 from rl_coach.core_types import RewardType
 from rl_coach.filters.reward.reward_filter import RewardFilter
+from rl_coach.spaces import RewardSpace
 
 
 class RewardRescaleFilter(RewardFilter):

rl_coach/graph_managers/basic_rl_graph_manager.py

@@ -15,11 +15,11 @@
 #
 from typing import Tuple, List
 
-from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, PresetValidationParameters
+from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, \
+    PresetValidationParameters
 from rl_coach.environments.environment import EnvironmentParameters, Environment
-from rl_coach.level_manager import LevelManager
-
 from rl_coach.graph_managers.graph_manager import GraphManager, ScheduleParameters
+from rl_coach.level_manager import LevelManager
 from rl_coach.utils import short_dynamic_import
 
 

rl_coach/graph_managers/graph_manager.py

@@ -18,20 +18,19 @@ import copy
 import os
 import time
 from collections import OrderedDict
-from typing import List, Tuple
 from distutils.dir_util import copy_tree, remove_tree
+from typing import List, Tuple
 
-import numpy as np
+from rl_coach.base_parameters import iterable_to_items, TaskParameters, DistributedTaskParameters, \
-from rl_coach.base_parameters import iterable_to_items, TaskParameters, DistributedTaskParameters, VisualizationParameters, \
+    VisualizationParameters, \
     Parameters, PresetValidationParameters
 from rl_coach.core_types import TotalStepsCounter, RunPhase, PlayingStepsType, TrainingSteps, EnvironmentEpisodes, \
     EnvironmentSteps, \
     StepMethod
 from rl_coach.environments.environment import Environment
 from rl_coach.level_manager import LevelManager
-from rl_coach.utils import set_cpu
-
 from rl_coach.logger import screen, Logger
+from rl_coach.utils import set_cpu
 
 
 class ScheduleParameters(Parameters):

rl_coach/graph_managers/hac_graph_manager.py

@@ -13,17 +13,16 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-import numpy as np
 from typing import List, Union, Tuple
 
-from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, PresetValidationParameters
+from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, \
+    PresetValidationParameters
+from rl_coach.core_types import EnvironmentSteps
 from rl_coach.environments.environment import EnvironmentParameters, Environment
+from rl_coach.graph_managers.graph_manager import GraphManager, ScheduleParameters
 from rl_coach.level_manager import LevelManager
 from rl_coach.utils import short_dynamic_import
 
-from rl_coach.core_types import EnvironmentSteps
-from rl_coach.graph_managers.graph_manager import GraphManager, ScheduleParameters
-
 
 class HACGraphManager(GraphManager):
     """

rl_coach/graph_managers/hrl_graph_manager.py

@@ -16,14 +16,14 @@
 
 from typing import List, Union, Tuple
 
-from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, PresetValidationParameters
+from rl_coach.base_parameters import AgentParameters, VisualizationParameters, TaskParameters, \
+    PresetValidationParameters
+from rl_coach.core_types import EnvironmentSteps
 from rl_coach.environments.environment import EnvironmentParameters, Environment
+from rl_coach.graph_managers.graph_manager import GraphManager, ScheduleParameters
 from rl_coach.level_manager import LevelManager
 from rl_coach.utils import short_dynamic_import
 
-from rl_coach.core_types import EnvironmentSteps
-from rl_coach.graph_managers.graph_manager import GraphManager, ScheduleParameters
-
 
 class HRLGraphManager(GraphManager):
     """

rl_coach/level_manager.py

@@ -14,14 +14,13 @@
 # limitations under the License.
 #
 import copy
-from typing import Union, Dict, Tuple, Type
+from typing import Union, Dict
-
-from rl_coach.environments.environment import Environment
-from rl_coach.environments.environment_interface import EnvironmentInterface
-from rl_coach.spaces import ActionSpace, SpacesDefinition
 
 from rl_coach.agents.composite_agent import CompositeAgent
 from rl_coach.core_types import EnvResponse, ActionInfo, RunPhase, ActionType, EnvironmentSteps
+from rl_coach.environments.environment import Environment
+from rl_coach.environments.environment_interface import EnvironmentInterface
+from rl_coach.spaces import ActionSpace, SpacesDefinition
 
 
 class LevelManager(EnvironmentInterface):

rl_coach/memories/episodic/episodic_experience_replay.py

@@ -17,10 +17,10 @@
 from typing import List, Tuple, Union, Dict, Any
 
 import numpy as np
-from rl_coach.utils import ReaderWriterLock
 
 from rl_coach.core_types import Transition, Episode
 from rl_coach.memories.memory import Memory, MemoryGranularity, MemoryParameters
+from rl_coach.utils import ReaderWriterLock
 
 
 class EpisodicExperienceReplayParameters(MemoryParameters):

rl_coach/memories/episodic/episodic_hindsight_experience_replay.py

@@ -21,7 +21,8 @@ from typing import Tuple, List
 import numpy as np
 
 from rl_coach.core_types import Episode, Transition
-from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters, EpisodicExperienceReplay
+from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters, \
+    EpisodicExperienceReplay
 from rl_coach.memories.non_episodic.experience_replay import MemoryGranularity
 from rl_coach.spaces import GoalsSpace
 

rl_coach/memories/episodic/single_episode_buffer.py

@@ -14,9 +14,8 @@
 # limitations under the License.
 #
 
-from rl_coach.memories.memory import MemoryGranularity, MemoryParameters
-
 from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplay
+from rl_coach.memories.memory import MemoryGranularity, MemoryParameters
 
 
 class SingleEpisodeBufferParameters(MemoryParameters):

rl_coach/memories/non_episodic/experience_replay.py

@@ -17,10 +17,10 @@
 from typing import List, Tuple, Union, Dict, Any
 
 import numpy as np
-from rl_coach.utils import ReaderWriterLock
 
 from rl_coach.core_types import Transition
 from rl_coach.memories.memory import Memory, MemoryGranularity, MemoryParameters
+from rl_coach.utils import ReaderWriterLock
 
 
 class ExperienceReplayParameters(MemoryParameters):

rl_coach/memories/non_episodic/prioritized_experience_replay.py

@@ -20,11 +20,11 @@ from enum import Enum
 from typing import List, Tuple, Any
 
 import numpy as np
-from rl_coach.memories.memory import MemoryGranularity
-from rl_coach.schedules import Schedule, ConstantSchedule
 
 from rl_coach.core_types import Transition
+from rl_coach.memories.memory import MemoryGranularity
 from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters, ExperienceReplay
+from rl_coach.schedules import Schedule, ConstantSchedule
 
 
 class PrioritizedExperienceReplayParameters(ExperienceReplayParameters):

rl_coach/presets/Atari_A3C.py

@@ -1,14 +1,13 @@
 from rl_coach.agents.actor_critic_agent import ActorCriticAgentParameters
 from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
 from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
+from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
 from rl_coach.environments.environment import SingleLevelSelection, SelectedPhaseOnlyDumpMethod, MaxDumpMethod
 from rl_coach.environments.gym_environment import Atari, atari_deterministic_v4
+from rl_coach.exploration_policies.categorical import CategoricalParameters
 from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
 from rl_coach.graph_managers.graph_manager import ScheduleParameters
 
-from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
-from rl_coach.exploration_policies.categorical import CategoricalParameters
-
 ####################
 # Graph Scheduling #
 ####################

rl_coach/presets/Atari_A3C_LSTM.py

@@ -1,14 +1,13 @@
 from rl_coach.agents.actor_critic_agent import ActorCriticAgentParameters
 from rl_coach.architectures.tensorflow_components.middlewares.lstm_middleware import LSTMMiddlewareParameters
 from rl_coach.base_parameters import VisualizationParameters, MiddlewareScheme, PresetValidationParameters
+from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
 from rl_coach.environments.environment import SingleLevelSelection, SelectedPhaseOnlyDumpMethod, MaxDumpMethod
 from rl_coach.environments.gym_environment import Atari, atari_deterministic_v4, AtariInputFilter
+from rl_coach.exploration_policies.categorical import CategoricalParameters
 from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
 from rl_coach.graph_managers.graph_manager import ScheduleParameters
 
-from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
-from rl_coach.exploration_policies.categorical import CategoricalParameters
-
 ####################
 # Graph Scheduling #
 ####################