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43 lines
2.2 KiB
Python
43 lines
2.2 KiB
Python
from rl_coach.agents.ddqn_agent import DDQNAgentParameters
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from rl_coach.architectures.tensorflow_components.heads.dueling_q_head import DuelingQHeadParameters
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from rl_coach.base_parameters import VisualizationParameters, MiddlewareScheme, PresetValidationParameters
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from rl_coach.core_types import EnvironmentSteps
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from rl_coach.environments.environment import SingleLevelSelection
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from rl_coach.environments.gym_environment import Atari, atari_deterministic_v4, atari_schedule
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from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
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from rl_coach.memories.non_episodic.prioritized_experience_replay import PrioritizedExperienceReplayParameters
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from rl_coach.schedules import LinearSchedule, PieceWiseSchedule, ConstantSchedule
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#########
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# Agent #
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#########
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agent_params = DDQNAgentParameters()
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agent_params.network_wrappers['main'].learning_rate = 0.0001
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agent_params.network_wrappers['main'].middleware_parameters.scheme = MiddlewareScheme.Empty
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agent_params.network_wrappers['main'].heads_parameters = [DuelingQHeadParameters()]
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agent_params.network_wrappers['main'].clip_gradients = 10
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agent_params.algorithm.num_steps_between_copying_online_weights_to_target = EnvironmentSteps(40000)
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agent_params.exploration.epsilon_schedule = PieceWiseSchedule(
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[(LinearSchedule(1, 0.1, 1000000), EnvironmentSteps(1000000)),
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(LinearSchedule(0.1, 0.01, 10000000), EnvironmentSteps(1000000)),
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(ConstantSchedule(0.001), EnvironmentSteps(10000000))]
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)
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agent_params.memory = PrioritizedExperienceReplayParameters()
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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(level=SingleLevelSelection(atari_deterministic_v4))
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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=atari_schedule, vis_params=VisualizationParameters(),
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preset_validation_params=preset_validation_params)
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