Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots

This paper introduces Unity RL Playground, an open-source reinforcement learning framework built on top of Unity ML-Agents. Unity RL Playground automates the process of training mobile robots to perform various locomotion tasks such as walking, running, and jumping in simulation, with the potential for seamless transfer to real hardware. Key features include one-click training for imported robot models, universal compatibility with diverse robot configurations, multi-mode motion learning capabilities, and extreme performance testing to aid in robot design optimization and morphological evolution. The attached video can be found atthis https URLand the code is coming soon.

@article{ye2025_2503.05146,
  title={ Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots },
  author={ Linqi Ye and Rankun Li and Xiaowen Hu and Jiayi Li and Boyang Xing and Yan Peng and Bin Liang },
  journal={arXiv preprint arXiv:2503.05146},
  year={ 2025 }
}