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47 lines
2.0 KiB
Python
47 lines
2.0 KiB
Python
from rl_coach.agents.categorical_dqn_agent import CategoricalDQNAgentParameters
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from rl_coach.agents.rainbow_dqn_agent import RainbowDQNAgentParameters
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from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
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from rl_coach.core_types import EnvironmentSteps, RunPhase
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from rl_coach.environments.environment import MaxDumpMethod, SelectedPhaseOnlyDumpMethod, SingleLevelSelection
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from rl_coach.environments.gym_environment import Atari, atari_deterministic_v4
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from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
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from rl_coach.graph_managers.graph_manager import ScheduleParameters
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from rl_coach.schedules import LinearSchedule
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####################
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# Graph Scheduling #
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####################
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schedule_params = ScheduleParameters()
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schedule_params.improve_steps = EnvironmentSteps(50000000)
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schedule_params.steps_between_evaluation_periods = EnvironmentSteps(250000)
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schedule_params.evaluation_steps = EnvironmentSteps(135000)
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schedule_params.heatup_steps = EnvironmentSteps(50000)
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#########
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# Agent #
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#########
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agent_params = RainbowDQNAgentParameters()
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agent_params.network_wrappers['main'].learning_rate = 0.00025
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agent_params.memory.beta = LinearSchedule(0.4, 1, 12500000) # 12.5M training iterations = 50M steps = 200M frames
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###############
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# Environment #
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###############
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env_params = Atari()
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env_params.level = SingleLevelSelection(atari_deterministic_v4)
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vis_params = VisualizationParameters()
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vis_params.video_dump_methods = [SelectedPhaseOnlyDumpMethod(RunPhase.TEST), MaxDumpMethod()]
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vis_params.dump_mp4 = False
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########
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# Test #
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########
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preset_validation_params = PresetValidationParameters()
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preset_validation_params.trace_test_levels = ['breakout', 'pong', 'space_invaders']
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graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
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schedule_params=schedule_params, vis_params=vis_params,
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preset_validation_params=preset_validation_params)
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