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19 lines
1.2 KiB
ReStructuredText
19 lines
1.2 KiB
ReStructuredText
.. _policy-map-docs:
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PolicyMap (ray.rllib.policy.policy_map.PolicyMap)
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=================================================
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``PolicyMaps`` are used inside :py:class:`~ray.rllib.evaluation.rollout_workers.RolloutWorker`s and
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map ``PolicyIDs`` (defined in the `config.multiagent.policies` dictionary) to :py:class:`~ray.rllib.policy.policy.Policy` instances.
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The Policies are used to calculate actions for the next environment steps, losses for
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model updates, and other functionalities covered by RLlib's :py:class:`~ray.rllib.policy.policy.Policy` API.
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A mapping function is used by episode objects to map AgentIDs produced by the environment to one of the PolicyIDs.
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It is possible to add and remove policies to/from the :py:class:`~ray.rllib.agents.trainer.Trainer`'s workers at any given time
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(even within an ongoing episode) as well as to change the policy mapping function.
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See the Trainer's methods: :py:meth:`~ray.rllib.agents.trainer.Trainer.add_policy`,
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:py:meth:`~ray.rllib.agents.trainer.Trainer.remove_policy`, and
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:py:meth:`~ray.rllib.agents.trainer.Trainer.change_policy_mapping_fn` for more details.
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.. autoclass:: ray.rllib.policy.policy_map.PolicyMap
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:members:
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