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lit_sb3.wrappers.atari.sticky_action

source module lit_sb3.wrappers.atari.sticky_action

Classes

source class StickyActionEnv(env: gym.Env, action_repeat_probability: float)

Bases : gym.Wrapper[np.ndarray, int, np.ndarray, int]

Sticky action.

Paper: https://arxiv.org/abs/1709.06009 Official implementation: https://github.com/mgbellemare/Arcade-Learning-Environment

Parameters

  • env : gym.Env — Environment to wrap

  • action_repeat_probability : float — Probability of repeating the last action

Attributes

  • metadata : dict[str, Any] — attr:Env :attr:metadata.

  • render_mode : str | None — attr:Env :attr:render_mode.

  • spec : EnvSpec | None — attr:Env :attr:spec attribute with the WrapperSpec if the wrapper inherits from EzPickle.

  • action_space : spaces.Space[ActType] | spaces.Space[WrapperActType] — attr:Env :attr:action_space unless overwritten then the wrapper :attr:action_space is used.

  • observation_space : spaces.Space[ObsType] | spaces.Space[WrapperObsType] — attr:Env :attr:observation_space unless overwritten then the wrapper :attr:observation_space is used.

  • unwrapped : Env[ObsType, ActType] — Returns the base environment of the wrapper.

  • np_random_seed : int | None — attr:np_random_seed.

  • np_random : np.random.Generator — attr:Env :attr:np_random attribute.

Methods

source method StickyActionEnv.reset(**kwargs) → AtariResetReturn

source method StickyActionEnv.step(action: int) → AtariStepReturn