0cd3c3b488
Lets a game define how its state becomes an observation as a plain Python function (module:attr), used identically by GameEnvironment (training) and TrainedPolicy (inference) instead of two independently maintained encoding paths. Removes the egocentric/egocentric_player/ egocentric_radius flags — cropping is now something an observation_function does itself by calling egocentric_board(), and extras_size is discovered from one sampled observation instead of being configured via observe_state_sizes.
31 lines
587 B
ReStructuredText
31 lines
587 B
ReStructuredText
API Reference
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=============
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All classes below are importable directly from ``retro_gamer``.
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Game description
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----------------
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.. autoclass:: retro_gamer.GameMetadata
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:members: from_pyproject, from_dict, validate, resolve_observation_function
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Training
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--------
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.. autoclass:: retro_gamer.DQNTrainer
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:members: train, load_checkpoint
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Environment
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-----------
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.. autoclass:: retro_gamer.GameEnvironment
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:members: reset, step
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Using a trained model
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---------------------
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.. autoclass:: retro_gamer.TrainedPolicy
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:members: get_action
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.. autoclass:: retro_gamer.PolicyInput
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