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EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine [article]

Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan
2022 arXiv   pre-print
Finally, EnvPool allows researchers to iterate their ideas at a much faster pace and has the great potential to become the de facto RL environment execution engine.  ...  There has been significant progress in developing reinforcement learning (RL) training systems.  ...  Conclusion In this work, we have introduced a highly parallel reinforcement learning environment execution engine EnvPool, which significantly outperforms existing environment executors.  ... 
arXiv:2206.10558v1 fatcat:scl2hq2wqjhh3px64ohh6fc7na