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Feasible Reachable Policy Iteration
Published in The 41st International Conference on Machine Learning (ICML 2024), 2024
FRPI is an efficient policy space pruning algorithm of safe reinforcement learning for goal-reaching problems with safety constraints, which achieves the best performance both in safety and return.
Recommended citation: @inproceedings{qinfeasible, title={Feasible Reachable Policy Iteration}, author={Qin, Shentao and Yang, Yujie and Mu, Yao and Li, Jie and Zou, Wenjun and Li, Shengbo Eben and Duan, Jingliang}, booktitle={Forty-first International Conference on Machine Learning}, year={2024}, url={https://openreview.net/pdf?id=ks8qSwkkuZ} }
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