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15 lines
860 B
ReStructuredText
15 lines
860 B
ReStructuredText
Baselines
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---------
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This folder contains examples when using PRL environments and algorithms defined in the ``stable_baselines`` Python
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library.
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Few notes with respect to that:
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1. ``stable_baselines`` uses the ``TensorFlow`` backend, and a ``DummyVecEnv`` has to be provided to the algorithms.
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2. Normally, in PRL, the actions can be defined outside the environments and it is the policy that is responsible to
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apply the action in the world. However, in ``OpenAI gym``, it is the environment that has the ``action_space`` and
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apply the ``action``. To accommodate with that, the action can also be defined and provided to the PRL environment.
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3. When using PRL with ``stable_baselines``, make sure that each states have the same dimensions; i.e. we can not
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return a 1D vector state with a 2D matrix state at the same time (at least, not currently).
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