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[tune] Support user-defined trainable functions / classes / envs with a shared object registry (#1226)
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@@ -25,7 +25,7 @@ You can run the code with
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.. code-block:: bash
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python/ray/rllib/train.py --env=Pong-ram-v4 --alg=A3C --config='{"num_workers": N}'
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python/ray/rllib/train.py --env=Pong-ram-v4 --run=A3C --config='{"num_workers": N}'
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Reinforcement Learning
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----------------------
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