ImitationEvents¶
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class
maze.train.trainers.imitation.imitation_events.
ImitationEvents
¶ Event interface defining statistics emitted by the imitation learning trainers.
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box_mean_abs_deviation
(step_id: Union[str, int], agent_id: int, subspace_name: str, value: int)¶ Mean absolute deviation for box (continuous) subspaces.
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discrete_accuracy
(step_id: Union[str, int], agent_id: int, subspace_name: str, value: int)¶ Accuracy for discrete (categorical) subspaces.
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discrete_action_rank
(step_id: Union[str, int], agent_id: int, subspace_name: str, value: int)¶ Rank of target action in discrete (categorical) subspaces.
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discrete_top_10_accuracy
(step_id: Union[str, int], agent_id: int, subspace_name: str, value: int)¶ Accuracy for discrete (categorical) subspaces.
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discrete_top_5_accuracy
(step_id: Union[str, int], agent_id: int, subspace_name: str, value: int)¶ Accuracy for discrete (categorical) subspaces.
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multi_binary_accuracy
(step_id: Union[str, int], agent_id: int, subspace_name: str, value: int)¶ Accuracy for multi-binary subspaces.
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policy_entropy
(step_id: Union[str, int], agent_id: int, value: float)¶ Entropy of the step policies.
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policy_grad_norm
(step_id: Union[str, int], agent_id: int, value: float)¶ Gradient norm of the step policies.
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policy_l2_norm
(step_id: Union[str, int], agent_id: int, value: float)¶ L2 norm of the step policies.
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