Multi-Agent Constrained Policy Optimisation

6 October 2021

Jun Wang

Papers citing "Multi-Agent Constrained Policy Optimisation"

32 / 32 papers shown

Title
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 102 239 0 23 Sep 2021
On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games Xiaotie Deng Ningyuan Li D. Mguni Jun Wang Yaodong Yang 46 47 0 04 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 51 63 0 19 Aug 2021
Safe Continuous Control with Constrained Model-Based Policy Optimization Moritz A. Zanger Karam Daaboul J. Marius Zöllner 51 19 0 14 Apr 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems Yaodong Yang Jun Luo Ying Wen Oliver Slumbers D. Graves H. Ammar Jun Wang Matthew E. Taylor 41 39 0 15 Feb 2021
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates Zengyi Qin Kai Zhang Yuxiao Chen Jingkai Chen Chuchu Fan 48 133 0 14 Jan 2021
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? Christian Schroeder de Witt Tarun Gupta Denys Makoviichuk Viktor Makoviychuk Philip Torr Mingfei Sun Shimon Whiteson 62 331 0 18 Nov 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 65 125 0 11 Nov 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 170 193 0 19 Oct 2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning Yuke Zhu J. Wong Ajay Mandlekar Roberto Martín-Martín Abhishek Joshi Soroush Nasiriany Yifeng Zhu Soroush Nasiriany Yifeng Zhu 164 442 0 25 Sep 2020
Multi-Agent Determinantal Q-Learning Yaodong Yang Ying Wen Lihuan Chen Jun Wang Kun Shao D. Mguni Weinan Zhang 46 73 0 02 Jun 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng Tabish Rashid Christian Schroeder de Witt Pierre-Alexandre Kamienny Philip Torr Wendelin Bohmer Shimon Whiteson 49 260 0 14 Mar 2020
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding Wenbo Zhang Osbert Bastani Vijay Kumar 56 40 0 25 Oct 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 146 92 0 08 Sep 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 85 950 0 11 Feb 2019
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning Minne Li Zhiwei Qin Qin Yan Jiao Yaodong Yang Zhichen Gong Jun Wang Chenxi Wang Guobin Wu Jieping Ye 39 197 0 31 Jan 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 67 246 0 28 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 60 52 0 26 Jan 2019
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen Yaodong Yang Rui Luo Jun Wang Wei Pan LRM 93 151 0 26 Jan 2019
Factorized Q-Learning for Large-Scale Multi-Agent Systems M. Zhou Yong Chen Ying Wen Yaodong Yang Yufeng Su Weinan Zhang Dell Zhang Jun Wang AI4CE 48 68 0 11 Sep 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 158 506 0 20 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 131 1,669 0 30 Mar 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 108 1,321 0 30 May 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 101 2,072 0 24 May 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 92 833 0 11 Oct 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 191 2,380 0 21 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 204 5,073 0 05 Jun 2016
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria Yinlam Chow Mohammad Ghavamzadeh Lucas Janson Marco Pavone 66 512 0 05 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 306 13,214 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 274 6,755 0 19 Feb 2015
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 128 311 0 22 May 2012