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Update experiment details of MuJoCo benchmark #779

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Nov 26, 2022
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Update experiment details of MuJoCo benchmark #779

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2 changes: 1 addition & 1 deletion examples/mujoco/README.md
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Expand Up @@ -321,7 +321,7 @@ For pretrained agents, detailed graphs (single agent, single game) and log detai

<a name="footnote1">[1]</a> Supported environments include HalfCheetah-v3, Hopper-v3, Swimmer-v3, Walker2d-v3, Ant-v3, Humanoid-v3, Reacher-v2, InvertedPendulum-v2 and InvertedDoublePendulum-v2. Pusher, Thrower, Striker and HumanoidStandup are not supported because they are not commonly seen in literatures.

<a name="footnote2">[2]</a> Pretrained agents, detailed graphs (single agent, single game) and log details can all be found at [https://cloud.tsinghua.edu.cn/d/f45fcfc5016043bc8fbc/](https://cloud.tsinghua.edu.cn/d/f45fcfc5016043bc8fbc/).
<a name="footnote2">[2]</a> Pretrained agents, detailed graphs (single agent, single game) and log details can all be found at [Google Drive](https://drive.google.com/drive/folders/1IycImzTmWcyEeD38viea5JHoboC4zmNP?usp=share_link).

<a name="footnote3">[3]</a> We used the latest version of all mujoco environments in gym (0.17.3 with mujoco==2.0.2.13), but it's not often the case with other benchmarks. Please check for details yourself in the original paper. (Different version's outcomes are usually similar, though)

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