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solving compatbility issues with baselines + update envs, rewards, terminal conditions, states/actions
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@@ -163,8 +163,9 @@ we now provide a brief overview of each submodule and its intended use:
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- ``returns``: this provides the various returns and estimators that are used in RL.
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- ``algos``: this contains the various learning algorithms on how to acquire the data and train the various models
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(policies, values, dynamics, etc).
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- ``metrics``: this contains the various metrics that are used in different learning paradigms. They are not currently
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all implemented. You can put different metrics together and plot them by just calling the ``plot`` method.
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- ``metrics``: this contains the various metrics that are used in different learning paradigms (imitation, reinforcement,
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transfer, etc). They are not currently all implemented. You can combine different metrics together and plot them by
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just calling the ``plot`` method.
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Other folders include:
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