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[RLlib] Add rainbow config hint to algo-documentation. (#7052)
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@@ -191,6 +191,16 @@ Tuned examples: `PongDeterministic-v4 <https://github.com/ray-project/ray/blob/m
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.. tip::
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Consider using `Ape-X <#distributed-prioritized-experience-replay-ape-x>`__ for faster training with similar timestep efficiency.
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.. hint::
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For a complete `rainbow <https://arxiv.org/pdf/1710.02298.pdf>`__ setup,
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make the following changes to the default DQN config:
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``"n_step": [between 1 and 10],
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"noisy": True,
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"num_atoms": [more than 1],
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"v_min": -10.0,
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"v_max": 10.0``
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(set ``v_min`` and ``v_max`` according to your expected range of returns).
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**Atari results @10M steps**: `more details <https://github.com/ray-project/rl-experiments>`__
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============= ======================== ============================= ============================== ===============================
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