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66 lines
3.0 KiB
Python
66 lines
3.0 KiB
Python
from rl_coach.agents.actor_critic_agent import ActorCriticAgentParameters
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from rl_coach.agents.policy_optimization_agent import PolicyGradientRescaler
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from rl_coach.base_parameters import VisualizationParameters
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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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from rl_coach.architectures.tensorflow_components.embedders.embedder import 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.exploration_policies.additive_noise import AdditiveNoiseParameters
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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 ConstantSchedule
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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(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.policy_gradient_rescaler = PolicyGradientRescaler.GAE
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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.gae_lambda = 0.96
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agent_params.algorithm.beta_entropy = 0
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agent_params.network_wrappers['main'].clip_gradients = 10.0
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agent_params.network_wrappers['main'].learning_rate = 0.00001
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# agent_params.network_wrappers['main'].batch_size = 20
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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.exploration = AdditiveNoiseParameters()
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agent_params.exploration.noise_percentage_schedule = ConstantSchedule(0.05)
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# agent_params.exploration.noise_percentage_schedule = LinearSchedule(0.4, 0.05, 100000)
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agent_params.exploration.evaluation_noise_percentage = 0.05
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agent_params.network_wrappers['main'].batch_size = 64
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agent_params.network_wrappers['main'].optimizer_epsilon = 1e-5
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agent_params.network_wrappers['main'].adam_optimizer_beta2 = 0.999
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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.video_dump_methods = [SelectedPhaseOnlyDumpMethod(RunPhase.TEST),MaxDumpMethod()]
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vis_params.dump_mp4 = 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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