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SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning


Jan 28, 2023
Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao

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Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning


Dec 14, 2022
Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao

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* The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) 

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Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks


Dec 12, 2022
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao

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* 37th AAAI Conference on Artificial Intelligence (AAAI-23) 

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Constrained Update Projection Approach to Safe Policy Optimization


Sep 15, 2022
Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan

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* Accepted by NeurIPS2022. arXiv admin note: substantial text overlap with arXiv:2202.07565; text overlap with arXiv:2002.06506 by other authors 

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SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving


Jun 17, 2022
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang

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* The 1st Workshop on Safe Learning for Autonomous Driving (SL4AD) with ICML 2022 

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