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[RLlib] Update MADDPG example repo to maintained fork (#6831)
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@ -348,7 +348,7 @@ Tuned examples: `Two-step game <https://github.com/ray-project/ray/blob/master/r
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Multi-Agent Deep Deterministic Policy Gradient (contrib/MADDPG)
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`[paper] <https://arxiv.org/abs/1706.02275>`__ `[implementation] <https://github.com/ray-project/ray/blob/master/rllib/contrib/maddpg/maddpg.py>`__ MADDPG is a specialized multi-agent algorithm. Code here is adapted from https://github.com/openai/maddpg to integrate with RLlib multi-agent APIs. Please check `wsjeon/maddpg-rllib <https://github.com/wsjeon/maddpg-rllib>`__ for examples and more information.
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`[paper] <https://arxiv.org/abs/1706.02275>`__ `[implementation] <https://github.com/ray-project/ray/blob/master/rllib/contrib/maddpg/maddpg.py>`__ MADDPG is a specialized multi-agent algorithm. Code here is adapted from https://github.com/openai/maddpg to integrate with RLlib multi-agent APIs. Please check `justinkterry/maddpg-rllib <https://github.com/justinkterry/maddpg-rllib>`__ for examples and more information.
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**MADDPG-specific configs** (see also `common configs <rllib-training.html#common-parameters>`__):
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# Implementation of MADDPG in RLLib
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Please check [wsjeon/maddpg-rllib](https://github.com/wsjeon/maddpg-rllib) for more information.
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Please check [justinkterry/maddpg-rllib](https://github.com/justinkterry/maddpg-rllib) for more information.
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