Source code for nnabla_rl.environment_explorers.raw_policy_explorer

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from dataclasses import dataclass
from typing import Dict, Tuple

import numpy as np

from nnabla_rl.environment_explorer import EnvironmentExplorer, EnvironmentExplorerConfig
from nnabla_rl.environments.environment_info import EnvironmentInfo
from nnabla_rl.typing import ActionSelector


@dataclass
class RawPolicyExplorerConfig(EnvironmentExplorerConfig):
    pass


[docs]class RawPolicyExplorer(EnvironmentExplorer): """Raw policy explorer. Explore using policy's action without any changes. Args: policy_action_selector (:py:class:`ActionSelector <nnabla_rl.typing.ActionSelector>`): callable which computes current policy's action with respect to current state. env_info (:py:class:`EnvironmentInfo <nnabla_rl.environments.environment_info.EnvironmentInfo>`): environment info config (:py:class:`LinearDecayEpsilonGreedyExplorerConfig\ <nnabla_rl.environment_explorers.RawPolicyExplorerConfig>`): the config of this class. """ def __init__( self, policy_action_selector: ActionSelector, env_info: EnvironmentInfo, config: RawPolicyExplorerConfig = RawPolicyExplorerConfig(), ): super().__init__(env_info, config) self._policy_action_selector = policy_action_selector
[docs] def action(self, step: int, state: np.ndarray, *, begin_of_episode: bool = False) -> Tuple[np.ndarray, Dict]: return self._policy_action_selector(state, begin_of_episode=begin_of_episode)