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network_imporvements branch merge

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This commit is contained in:
Shadi Endrawis
2018-10-02 13:41:46 +03:00
parent 72ea933384
commit 51726a5b80
110 changed files with 1639 additions and 1161 deletions
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rl_coach/presets/CartPole_Dueling_DDQN.py
+6 -12
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@@ -3,9 +3,8 @@ import math
from rl_coach.agents.ddqn_agent import DDQNAgentParameters
from rl_coach.architectures.tensorflow_components.heads.dueling_q_head import DuelingQHeadParameters
from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
from rl_coach.environments.environment import SelectedPhaseOnlyDumpMethod, MaxDumpMethod
from rl_coach.environments.gym_environment import Mujoco
from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps
from rl_coach.environments.gym_environment import GymVectorEnvironment
from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
from rl_coach.graph_managers.graph_manager import ScheduleParameters
from rl_coach.memories.memory import MemoryGranularity
@@ -34,8 +33,8 @@ agent_params.algorithm.num_consecutive_playing_steps = EnvironmentSteps(1)
# NN configuration
agent_params.network_wrappers['main'].learning_rate = 0.00025
agent_params.network_wrappers['main'].replace_mse_with_huber_loss = False
agent_params.network_wrappers['main'].heads_parameters = [DuelingQHeadParameters()]
agent_params.network_wrappers['main'].rescale_gradient_from_head_by_factor = [1/math.sqrt(2), 1/math.sqrt(2)]
agent_params.network_wrappers['main'].heads_parameters = \
[DuelingQHeadParameters(rescale_gradient_from_head_by_factor=1/math.sqrt(2))]
# ER size
agent_params.memory.max_size = (MemoryGranularity.Transitions, 40000)
@@ -46,12 +45,7 @@ agent_params.exploration.epsilon_schedule = LinearSchedule(1.0, 0.01, 10000)
################
# Environment #
################
env_params = Mujoco()
env_params.level = 'CartPole-v0'
vis_params = VisualizationParameters()
vis_params.video_dump_methods = [SelectedPhaseOnlyDumpMethod(RunPhase.TEST), MaxDumpMethod()]
vis_params.dump_mp4 = False
env_params = GymVectorEnvironment(level='CartPole-v0')
########
# Test #
@@ -62,5 +56,5 @@ preset_validation_params.min_reward_threshold = 150
preset_validation_params.max_episodes_to_achieve_reward = 250
graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
schedule_params=schedule_params, vis_params=vis_params,
schedule_params=schedule_params, vis_params=VisualizationParameters(),
preset_validation_params=preset_validation_params)