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[tune] Support user-defined trainable functions / classes / envs with a shared object registry (#1226)

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Eric Liang
2017-11-20 17:52:43 -08:00
committed by Richard Liaw
parent 9233e496cc
commit 316f9e2bb7
38 changed files with 739 additions and 299 deletions
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doc/source/example-policy-gradient.rst
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@@ -16,7 +16,7 @@ Then you can run the example as follows.
.. code-block:: bash
python/ray/rllib/train.py --env=Pong-ram-v4 --alg=PPO
python/ray/rllib/train.py --env=Pong-ram-v4 --run=PPO
This will train an agent on the ``Pong-ram-v4`` Atari environment. You can also
try passing in the ``Pong-v0`` environment or the ``CartPole-v0`` environment.