From 929508ba7732d7de3d24a305cedccda4695f6a4d Mon Sep 17 00:00:00 2001 From: ChenDRAG <40993476+ChenDRAG@users.noreply.github.com> Date: Sun, 27 Nov 2022 02:18:22 +0800 Subject: [PATCH] Update experiment details of MuJoCo benchmark (#779) Update the downloading url of the training logs and saved checkpoints for MuJoCo tasks. --- examples/mujoco/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/mujoco/README.md b/examples/mujoco/README.md index e38107e..bccb581 100644 --- a/examples/mujoco/README.md +++ b/examples/mujoco/README.md @@ -321,7 +321,7 @@ For pretrained agents, detailed graphs (single agent, single game) and log detai [1] 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. -[2] 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/). +[2] 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). [3] 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)