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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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27
rl_coach/presets/ExplorationChain_Bootstrapped_DQN.py
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@@ -1,7 +1,7 @@
from rl_coach.agents.bootstrapped_dqn_agent import BootstrappedDQNAgentParameters
from rl_coach.base_parameters import VisualizationParameters
from rl_coach.core_types import EnvironmentEpisodes, EnvironmentSteps
from rl_coach.environments.gym_environment import Mujoco
from rl_coach.environments.gym_environment import GymVectorEnvironment
from rl_coach.filters.filter import NoInputFilter, NoOutputFilter
from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
from rl_coach.graph_managers.graph_manager import ScheduleParameters
@@ -29,8 +29,8 @@ agent_params.network_wrappers['main'].learning_rate = 0.00025
agent_params.memory.max_size = (MemoryGranularity.Transitions, 1000000)
agent_params.algorithm.discount = 0.99
agent_params.algorithm.num_consecutive_playing_steps = EnvironmentSteps(4)
agent_params.network_wrappers['main'].num_output_head_copies = num_output_head_copies
agent_params.network_wrappers['main'].rescale_gradient_from_head_by_factor = [1.0/num_output_head_copies]*num_output_head_copies
agent_params.network_wrappers['main'].heads_parameters[0].num_output_head_copies = num_output_head_copies
agent_params.network_wrappers['main'].heads_parameters[0].rescale_gradient_from_head_by_factor = 1.0/num_output_head_copies
agent_params.exploration.bootstrapped_data_sharing_probability = 1.0
agent_params.exploration.architecture_num_q_heads = num_output_head_copies
agent_params.exploration.epsilon_schedule = ConstantSchedule(0)
@@ -40,26 +40,9 @@ agent_params.output_filter = NoOutputFilter()
###############
# Environment #
###############
env_params = Mujoco()
env_params.level = 'rl_coach.environments.toy_problems.exploration_chain:ExplorationChain'
env_params = GymVectorEnvironment(level='rl_coach.environments.toy_problems.exploration_chain:ExplorationChain')
env_params.additional_simulator_parameters = {'chain_length': N, 'max_steps': N+7}
vis_params = VisualizationParameters()
########
# Test #
########
# currently no test here as bootstrapped_dqn seems to be broken
# preset_validation_params = PresetValidationParameters()
# preset_validation_params.test = True
# preset_validation_params.min_reward_threshold = 1600
# preset_validation_params.max_episodes_to_achieve_reward = 70
graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
schedule_params=schedule_params, vis_params=vis_params,)
# preset_validation_params=preset_validation_params)
schedule_params=schedule_params, vis_params=VisualizationParameters())