Multi-Agent Constrained Policy Optimisation

6 October 2021

Jun Wang

Papers citing "Multi-Agent Constrained Policy Optimisation"

26 / 26 papers shown

Title
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety Jason J. Choi Jasmine Jerry Aloor Jingqi Li Maria G. Mendoza H. Balakrishnan Claire J. Tomlin 28 0 0 04 May 2025
Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL Songyuan Zhang Oswin So Mitchell Black Zachary Serlin Chuchu Fan 28 0 0 21 Apr 2025
Safe Multi-agent Reinforcement Learning with Natural Language Constraints Ziyan Wang Meng Fang Tristan Tomilin Fei Fang Yali Du LLMAG 64 7 0 30 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
Safe and Robust Reinforcement Learning: Principles and Practice Taku Yamagata Raúl Santos-Rodríguez OffRL 40 2 0 27 Mar 2024
Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach Yifeng Lyu Han Hu Rongfei Fan Zhi Liu J. An Shiwen Mao 31 13 0 23 Dec 2023
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Peide Huang Tingnan Zhang Wenhao Yu Ding Zhao OffRL 71 6 0 23 Dec 2023
Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network Jichen Zhang Linwei Sang Yinliang Xu Hongbin Sun 6 13 0 27 Nov 2023
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints Raheeb Hassan K. M. S. Wadith Md. Mamun-or Rashid Md. Mosaddek Khan 22 2 0 22 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 25 62 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 Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang F. Corman Andreas Krause Ilija Bogunovic 29 3 0 29 Jun 2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang Mihailo R. Jovanović OffRL 32 11 0 31 May 2023
Emergent Incident Response for Unmanned Warehouses with Multi-agent Systems* Yibo Guo Mingxin Li Jingting Zong Mingliang Xu 19 0 0 29 May 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities Donghao Ying Yunkai Zhang Yuhao Ding Alec Koppel Javad Lavaei 33 11 0 27 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 33 14 0 17 May 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks Guangzhen Hu Haoran Li Shasha Liu Mingjun Ma Yuanheng Zhu Dongbin Zhao OffRL 32 6 0 22 Mar 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 34 14 0 25 Feb 2023
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning Kai Liu Tianxian Zhang L. Kong 28 0 0 07 Aug 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 37 35 0 29 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 115 237 0 20 May 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks Linghui Meng Muning Wen Yaodong Yang Chenyang Le Xiyun Li Weinan Zhang Ying Wen Haifeng Zhang Jun Wang Bo Xu OffRL 26 38 0 06 Dec 2021
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
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 136 193 0 19 Oct 2020
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 96 91 0 08 Sep 2019
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 75 308 0 22 May 2012