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66 lines
2.8 KiB
Python
66 lines
2.8 KiB
Python
from collections import OrderedDict
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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, InputEmbedderParameters
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from rl_coach.environments.environment import MaxDumpMethod, SelectedPhaseOnlyDumpMethod
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from rl_coach.environments.starcraft2_environment import StarCraft2EnvironmentParameters
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from rl_coach.filters.action.box_discretization import BoxDiscretization
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from rl_coach.filters.filter import OutputFilter
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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.memories.memory import MemoryGranularity
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from rl_coach.schedules import LinearSchedule
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from rl_coach.agents.ddqn_agent import DDQNAgentParameters
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from rl_coach.core_types import RunPhase
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from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps
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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(50)
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schedule_params.evaluation_steps = EnvironmentEpisodes(1)
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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 = DDQNAgentParameters()
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agent_params.network_wrappers['main'].learning_rate = 0.0001
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agent_params.network_wrappers['main'].input_embedders_parameters = {
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"screen": InputEmbedderParameters(input_rescaling={'image': 3.0})
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}
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agent_params.network_wrappers['main'].heads_parameters = [DuelingQHeadParameters()]
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agent_params.memory.max_size = (MemoryGranularity.Transitions, 1000000)
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# slave_agent_params.algorithm.num_steps_between_copying_online_weights_to_target = EnvironmentSteps(10000)
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agent_params.exploration.epsilon_schedule = LinearSchedule(1.0, 0.1, 1000000)
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agent_params.algorithm.num_consecutive_playing_steps = EnvironmentSteps(4)
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agent_params.output_filter = \
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OutputFilter(
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action_filters=OrderedDict([
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('discretization', BoxDiscretization(num_bins_per_dimension=4, force_int_bins=True))
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]),
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is_a_reference_filter=False
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)
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###############
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# Environment #
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###############
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env_params = StarCraft2EnvironmentParameters()
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env_params.level = 'CollectMineralShards'
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env_params.feature_screen_maps_to_use = [5]
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env_params.feature_minimap_maps_to_use = [5]
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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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# vis_params.dump_in_episode_signals = True
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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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