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  • Get Started

  • Use Cases

  • Example Gallery

  • Library

    • Ray CoreScale general Python applications

    • Ray DataScale data ingest and preprocessing

    • Ray TrainScale machine learning training

    • Ray TuneScale hyperparameter tuning

    • Ray ServeScale model serving

    • Ray RLlibScale reinforcement learning

  • APIs

  • Resources

    • Discussion ForumGet your Ray questions answered

    • TrainingHands-on learning

    • BlogUpdates, best practices, user-stories

    • EventsWebinars, meetups, office hours

    • Success StoriesReal-world workload examples

    • EcosystemLibraries integrated with Ray

    • CommunityConnect with us

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  • Ray APIs
  • Ray RLlib API
  • Offline RL API
  • _map_to_episodes

_map_to_episodes#

OfflinePreLearner._map_to_episodes(batch: Dict[str, list | ndarray], to_numpy: bool = False, **kwargs: Dict[str, Any]) → Dict[str, List[SingleAgentEpisode | MultiAgentEpisode]][source]#

Maps a batch of data to episodes.

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__call__

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_map_sample_batch_to_episode

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  • OfflinePreLearner._map_to_episodes()
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