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42 lines
1.7 KiB
Python
42 lines
1.7 KiB
Python
from rl_coach.agents.nec_agent import NECAgentParameters
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from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
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from rl_coach.core_types import 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, AtariInputFilter, 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 = EnvironmentSteps(10000000)
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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(2000)
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#########
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# Agent #
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#########
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agent_params = NECAgentParameters()
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agent_params.network_wrappers['main'].learning_rate = 0.00001
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agent_params.input_filter = AtariInputFilter()
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agent_params.input_filter.remove_reward_filter('clipping')
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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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env_params.random_initialization_steps = 1
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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.test_using_a_trace_test = False
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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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