Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

14 February 2022

Aivar Sootla

Alexander I. Cowen-Rivers

Jun Wang

Papers citing "Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation"

35 / 35 papers shown

Title
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin Meng Fang Mykola Pechenizkiy 55 0 0 11 Mar 2025
Safety Representations for Safer Policy Learning Kaustubh Mani Vincent Mai Charlie Gauthier Annie Chen Samer Nashed Liam Paull 40 0 0 27 Feb 2025
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification Rudolf Reiter Jasper Hoffmann D. Reinhardt Florian Messerer Katrin Baumgärtner Shamburaj Sawant Joschka Boedecker Moritz Diehl S. Gros 84 5 0 04 Feb 2025
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 25 1 0 12 Oct 2024
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning Qian Lin Zongkai Liu Danying Mo Chao Yu OffRL 26 1 0 16 Sep 2024
Stochastic Games with Minimally Bounded Action Costs David Mguni 29 0 0 25 Jul 2024
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning Jianpeng Yao Xiaopan Zhang Yu Xia Zejin Wang A. Roy-Chowdhury Jiachen Li 51 2 0 24 Jul 2024
Distributionally Robust Constrained Reinforcement Learning under Strong Duality Zhengfei Zhang Kishan Panaganti Laixi Shi Yanan Sui Adam Wierman Yisong Yue OOD 39 3 0 22 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 40 3 0 20 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning Akifumi Wachi Xun Shen Yanan Sui 31 10 0 03 Feb 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng Jianxiong Li Dongjie Yu Yujie Yang Shengbo Eben Li Xianyuan Zhan Jingjing Liu OffRL 36 24 0 19 Jan 2024
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees Dorde Zikelic Mathias Lechner Abhinav Verma K. Chatterjee T. Henzinger 32 9 0 03 Dec 2023
Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang Pengfei Li Tongxin Li Adam Wierman Shaolei Ren 40 2 0 02 Nov 2023
Diffusion Models for Reinforcement Learning: A Survey Zhengbang Zhu Hanye Zhao Haoran He Yichao Zhong Shenyu Zhang Haoquan Guo Tingting Chen Weinan Zhang 41 60 0 02 Nov 2023
Safe RLHF: Safe Reinforcement Learning from Human Feedback Josef Dai Xuehai Pan Ruiyang Sun Jiaming Ji Xinbo Xu Mickel Liu Yizhou Wang Yaodong Yang 27 289 0 19 Oct 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Jiacheng Zhu Wenhao Yu Tingnan Zhang Ding Zhao OffRL 28 12 0 05 Oct 2023
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms Akifumi Wachi Wataru Hashimoto Xun Shen Kazumune Hashimoto 14 9 0 05 Oct 2023
Learning Adaptive Safety for Multi-Agent Systems Luigi Berducci Shuo Yang Rahul Mangharam Radu Grosu 38 4 0 19 Sep 2023
SafeDreamer: Safe Reinforcement Learning with World Models Weidong Huang Jiaming Ji Borong Zhang Chunhe Xia Yao-Chun Yang OffRL 30 19 0 14 Jul 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 22 36 0 15 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 34 11 0 01 Jun 2023
ROSARL: Reward-Only Safe Reinforcement Learning Geraud Nangue Tasse Tamlin Love Mark W. Nemecek Steven D. James Benjamin Rosman 21 3 0 31 May 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 72 47 0 16 May 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger F. I. F. Richard Yu Luc Van Gool 24 1 0 07 Mar 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization Haotian Xu Shengjie Wang Zhaolei Wang Yunzhe Zhang Qing Zhuo Yang Gao Tao Zhang 18 0 0 28 Feb 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Yi-Fan Yao Zhepeng Cen Wenhao Yu Tingnan Zhang Ding Zhao OffRL 31 46 0 14 Feb 2023
Distributional constrained reinforcement learning for supply chain optimization J. Berm\údez Antonio del Rio-Chanona Calvin Tsay 26 5 0 03 Feb 2023
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction Puze Liu Kuo Zhang Davide Tateo Snehal Jauhri Zhiyuan Hu Jan Peters Georgia Chalvatzaki 41 17 0 27 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Effects of Safety State Augmentation on Safe Exploration Aivar Sootla Alexander I. Cowen-Rivers Jun Wang H. Ammar OffRL 24 0 0 06 Jun 2022
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints D. Mguni Aivar Sootla Juliusz Ziomek Oliver Slumbers Zipeng Dai Kun Shao Jun Wang 34 6 0 31 May 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 39 35 0 29 May 2022
Finding Safe Zones of policies Markov Decision Processes Lee Cohen Yishay Mansour Michal Moshkovitz 19 1 0 23 Feb 2022
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention D. Mguni Usman Islam Taher Jafferjee Xiuling Zhang Joel Jennings Aivar Sootla Changmin Yu Ziyan Wang Jun Wang Yaodong Yang OffRL 26 7 0 27 Oct 2021