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QWOP_rl_training_public

LYiHub

A QWOP physics simulation environment combined with PPO reinforcement learning for training AI agents to run, hurdle, and long jump, with tools to export replays and compete on a leaderboard.

Stars

151

7-day growth

+45

Forks

27

Open issues

0

License

Apache-2.0

Last updated

2026-07-21

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It provides a complete, open-source pipeline from training to leaderboard submission for a notoriously difficult game, including precompiled physics, multi-environment APIs, and RND exploration rewards.

Who it is for

  • Reinforcement learning researchers seeking a non-trivial continuous control benchmark
  • Game AI enthusiasts interested in training agents for QWOP
  • Competitive leaderboard participants who want to submit trained models
  • Developers learning about PPO and policy distillation in a physical simulation context

README quick start

安装

Description

跑步游戏强化学习训练框架

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