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45 lines
1.9 KiB
Python
45 lines
1.9 KiB
Python
from rl_coach.agents.actor_critic_agent import ActorCriticAgentParameters
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from rl_coach.architectures.tensorflow_components.middlewares.fc_middleware import FCMiddlewareParameters
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from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
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from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, 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
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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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####################
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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 = TrainingSteps(10000000000)
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schedule_params.steps_between_evaluation_periods = EnvironmentEpisodes(100)
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schedule_params.evaluation_steps = EnvironmentEpisodes(3)
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schedule_params.heatup_steps = EnvironmentSteps(0)
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#########
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# Agent #
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#########
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agent_params = ActorCriticAgentParameters()
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agent_params.algorithm.apply_gradients_every_x_episodes = 1
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agent_params.algorithm.num_steps_between_gradient_updates = 20
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agent_params.algorithm.beta_entropy = 0.05
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agent_params.network_wrappers['main'].middleware_parameters = FCMiddlewareParameters()
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agent_params.network_wrappers['main'].learning_rate = 0.0001
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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=schedule_params, vis_params=VisualizationParameters(),
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preset_validation_params=preset_validation_params)
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