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TD3 (#338)

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Gal Leibovich
2019-06-16 11:11:21 +03:00
committed by GitHub
parent 8df3c46756
commit 7eb884c5b2
107 changed files with 2200 additions and 495 deletions
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rl_coach/presets/Mujoco_TD3.py Normal file
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from rl_coach.agents.td3_agent import TD3AgentParameters
from rl_coach.architectures.layers import Dense
from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters, EmbedderScheme
from rl_coach.core_types import EnvironmentEpisodes, EnvironmentSteps
from rl_coach.environments.environment import SingleLevelSelection
from rl_coach.environments.gym_environment import GymVectorEnvironment, mujoco_v2
from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
from rl_coach.graph_managers.graph_manager import ScheduleParameters
####################
# Graph Scheduling #
####################
schedule_params = ScheduleParameters()
schedule_params.improve_steps = EnvironmentSteps(1000000)
schedule_params.steps_between_evaluation_periods = EnvironmentSteps(5000)
schedule_params.evaluation_steps = EnvironmentEpisodes(10)
schedule_params.heatup_steps = EnvironmentSteps(10000)
#########
# Agent #
#########
agent_params = TD3AgentParameters()
agent_params.network_wrappers['actor'].input_embedders_parameters['observation'].scheme = [Dense(400)]
agent_params.network_wrappers['actor'].middleware_parameters.scheme = [Dense(300)]
agent_params.network_wrappers['critic'].input_embedders_parameters['observation'].scheme = EmbedderScheme.Empty
agent_params.network_wrappers['critic'].input_embedders_parameters['action'].scheme = EmbedderScheme.Empty
agent_params.network_wrappers['critic'].middleware_parameters.scheme = [Dense(400), Dense(300)]
###############
# Environment #
###############
env_params = GymVectorEnvironment(level=SingleLevelSelection(mujoco_v2))
########
# Test #
########
preset_validation_params = PresetValidationParameters()
preset_validation_params.test = True
preset_validation_params.min_reward_threshold = 500
preset_validation_params.max_episodes_to_achieve_reward = 1100
preset_validation_params.reward_test_level = 'hopper'
preset_validation_params.trace_test_levels = ['inverted_pendulum', 'hopper']
graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
schedule_params=schedule_params, vis_params=VisualizationParameters(),
preset_validation_params=preset_validation_params)