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doc/source/example-a3c.rst

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.. note::
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For an overview of Ray's reinforcement learning library, see `Ray RLlib <http://ray.readthedocs.io/en/latest/rllib.html>`__.
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For an overview of Ray's reinforcement learning library, see `RLlib <http://ray.readthedocs.io/en/latest/rllib.html>`__.
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To run the application, first install **ray** and then some dependencies:
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doc/source/example-policy-gradient.rst

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.. note::
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For an overview of Ray's reinforcement learning library, see `Ray RLlib <http://ray.readthedocs.io/en/latest/rllib.html>`__.
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For an overview of Ray's reinforcement learning library, see `RLlib <http://ray.readthedocs.io/en/latest/rllib.html>`__.
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To run this example, you will need to install `TensorFlow with GPU support`_ (at

doc/source/index.rst

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.. toctree::
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:maxdepth: 1
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:caption: Ray RLlib
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:caption: RLlib
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rllib.rst
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rllib-training.rst

doc/source/rllib.rst

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Installation
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RLlib has extra dependencies on top of ``ray``. First, you'll need to install either `PyTorch <http://pytorch.org/>`__ or `TensorFlow <https://www.tensorflow.org>`__. Then, install the Ray RLlib module:
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RLlib has extra dependencies on top of ``ray``. First, you'll need to install either `PyTorch <http://pytorch.org/>`__ or `TensorFlow <https://www.tensorflow.org>`__. Then, install the RLlib module:
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.. code-block:: bash
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