Projection-Based Constrained Policy Optimization

7 October 2020

Papers citing "Projection-Based Constrained Policy Optimization"

50 / 163 papers shown

Title
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 149 37 0 19 Jan 2024
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Peide Huang Tingnan Zhang Wenhao Yu Ding Zhao OffRL 215 8 0 23 Dec 2023
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming Minjae Cho Chuangchuang Sun 123 4 0 15 Dec 2023
Learning Safety Constraints From Demonstration Using One-Class Decision Trees Mattijs Baert Sam Leroux Pieter Simoens 51 1 0 14 Dec 2023
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning Dohyeong Kim Songhwai Oh 118 20 0 01 Dec 2023
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk Dohyeong Kim Songhwai Oh OffRL 123 19 0 01 Dec 2023
Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang Pengfei Li Tongxin Li Adam Wierman Shaolei Ren 120 3 0 02 Nov 2023
SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization Jaafar Mhamed Shangding Gu 169 0 0 01 Nov 2023
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay Pengfei Li Jianyi Yang Adam Wierman Shaolei Ren 95 4 0 31 Oct 2023
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark Jiaming Ji Borong Zhang Jiayi Zhou Xuehai Pan Weidong Huang Ruiyang Sun Yiran Geng Yifan Zhong Juntao Dai Yaodong Yang OffRL 177 90 0 19 Oct 2023
Reduced Policy Optimization for Continuous Control with Hard Constraints Shutong Ding Jingya Wang Yali Du Ye-ling Shi 107 6 0 14 Oct 2023
Robust Safe Reinforcement Learning under Adversarial Disturbances Zeyang Li Chuxiong Hu Shengbo Eben Li Jia Cheng Yunan Wang AAML 96 4 0 11 Oct 2023
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization Fan Yang Wen-Min Zhou Zuxin Liu Ding Zhao David Held 116 2 0 10 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 148 15 0 05 Oct 2023
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games Kuo-Hao Ho Ping-Chun Hsieh Chiu-Chou Lin You-Ren Luo Feng-Jian Wang I-Chen Wu 83 0 0 27 Sep 2023
Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion Joonho Lee Lukas Schroth Victor Klemm Marko Bjelonic Alexander Reske Marco Hutter 142 19 0 27 Sep 2023
Iterative Reachability Estimation for Safe Reinforcement Learning Milan Ganai Zheng Gong Chenning Yu Sylvia Herbert Sicun Gao 115 23 0 24 Sep 2023
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 99 0 0 21 Sep 2023
Safe Reinforcement Learning with Dual Robustness Zeyang Li Chuxiong Hu Yunan Wang Yujie Yang Shengbo Eben Li OffRL 110 14 0 13 Sep 2023
Learning Shared Safety Constraints from Multi-task Demonstrations Konwoo Kim Gokul Swamy Zuxin Liu Ding Zhao Sanjiban Choudhury Zhiwei Steven Wu 107 20 0 01 Sep 2023
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization Weiye Zhao Yifan Sun Fei Li Rui Chen Tianhao Wei Changliu Liu 223 7 0 25 Aug 2023
Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion Yunho Kim H. Oh J. Lee Jinhyeok Choi Gwanghyeon Ji Moonkyu Jung D. Youm Jemin Hwangbo 163 57 0 24 Aug 2023
Approximate Model-Based Shielding for Safe Reinforcement Learning Alexander W. Goodall Francesco Belardinelli 91 2 0 27 Jul 2023
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 96 6 0 26 Jul 2023
SafeDreamer: Safe Reinforcement Learning with World Models Weidong Huang Jiaming Ji Borong Zhang Chunhe Xia Yao-Chun Yang OffRL 104 25 0 14 Jul 2023
Probabilistic Constraint for Safety-Critical Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 159 18 0 29 Jun 2023
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery Xiao Zhang Hai Zhang Hongtu Zhou Chang Huang Di Zhang Chen Ye Junqiao Zhao OffRL 99 7 0 24 Jun 2023
State-wise Constrained Policy Optimization Weiye Zhao Rui Chen Yifan Sun Tianhao Wei Changliu Liu 155 12 0 21 Jun 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs Dongsheng Ding Chen-Yu Wei Jianchao Tan Alejandro Ribeiro 172 23 0 20 Jun 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 109 4 0 31 May 2023
ROSARL: Reward-Only Safe Reinforcement Learning Geraud Nangue Tasse Tamlin Love Mark W. Nemecek Steven D. James Benjamin Rosman 122 3 0 31 May 2023
Constrained Proximal Policy Optimization Chengbin Xuan Feng Zhang Faliang Yin H. Lam 56 0 0 23 May 2023
GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao Rui Chen Yifan Sun Ruixuan Liu Tianhao Wei Changliu Liu 175 17 0 23 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 194 60 0 16 May 2023
Robustified Learning for Online Optimization with Memory Costs Pengfei Li Jianyi Yang Shaolei Ren OffRL 92 7 0 01 May 2023
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning Liangyu Zhang Yang Peng Wenhao Yang Zhihua Zhang 97 1 0 29 Apr 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 76 2 0 21 Apr 2023
Evolving Constrained Reinforcement Learning Policy Chengpeng Hu Jiyuan Pei Jialin Liu Xinghu Yao 88 2 0 19 Apr 2023
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach Liqun Zhao Konstantinos Gatsis A. Papachristodoulou 148 18 0 08 Apr 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger Feng Yu Luc Van Gool 104 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 75 0 0 28 Feb 2023
Safe Deep Reinforcement Learning by Verifying Task-Level Properties Enrico Marchesini Luca Marzari Alessandro Farinelli Chris Amato OffRL 79 14 0 20 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 155 59 0 14 Feb 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints Ming Shi Yitao Liang Ness B. Shroff 104 9 0 08 Feb 2023
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints Akhil Agnihotri R. Jain Haipeng Luo 258 2 0 02 Feb 2023
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning Qin Zhang Linrui Zhang Haoran Xu Li Shen Bowen Wang Yongzhe Chang Xueqian Wang Bo Yuan Dacheng Tao OffRL 89 20 0 28 Jan 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim Kyungjae Lee Songhwai Oh 105 16 0 26 Jan 2023
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Qin Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 134 33 0 12 Dec 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 95 5 0 28 Nov 2022
Safety-Constrained Policy Transfer with Successor Features Zeyu Feng Bowen Zhang Jianxin Bi Harold Soh 113 6 0 10 Nov 2022