A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity

28 July 2017

Pablo Hernandez-Leal

Michael Kaisers

T. Baarslag

Enrique Munoz de Cote

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Papers citing "A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity"

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Title
Task Offloading in Vehicular Edge Computing using Deep Reinforcement Learning: A Survey Ashab Uddin Ahmed Hamdi Sakr Ning Zhang OffRL 62 0 0 10 Feb 2025
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 59 5 0 03 Jan 2025
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Rohit Bokade Xiaoning Jin OffRL 39 0 0 10 Nov 2024
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 56 0 0 24 Oct 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 48 2 0 14 Jul 2024
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 85 0 0 20 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective Yasin Findik Hamid Osooli Paul Robinette Kshitij Jerath S. Ahmadzadeh 35 5 0 19 Oct 2023
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams Yasin Findik Paul Robinette Kshitij Jerath S. Ahmadzadeh 34 2 0 19 Oct 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 30 1 0 12 Feb 2023
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 20 12 0 19 Dec 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation P. D. Siedler AI4CE 33 4 0 14 Nov 2022
Learning Heterogeneous Agent Cooperation via Multiagent League Training Qing Fu X. Ai Jianqiang Yi Tenghai Qiu Wanmai Yuan Zhiqiang Pu 21 7 0 13 Nov 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning Filippos Christianos Georgios Papoudakis Stefano V. Albrecht 35 4 0 28 Sep 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems Miguel Suau Jinke He Mustafa Mert cCelikok M. Spaan F. Oliehoek 21 1 0 01 Jul 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 18 0 0 31 May 2022
RILI: Robustly Influencing Latent Intent Sagar Parekh Soheil Habibian Dylan P. Losey 34 13 0 23 Mar 2022
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic Rodolfo Valiente Behrad Toghi Ramtin Pedarsani Y. P. Fallah 68 55 0 02 Feb 2022
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 36 11 0 05 Jan 2022
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games Bora Yongacoglu Gürdal Arslan S. Yüksel 32 15 0 09 Oct 2021
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 38 34 0 05 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems Luyao Yuan Zipeng Fu Linqi Zhou Kexin Yang Song-Chun Zhu 48 10 0 30 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 62 55 0 28 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 32 38 0 25 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation Chuangchuang Sun Dong-Ki Kim Jonathan P. How AAML 33 19 0 14 Sep 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 28 41 0 08 Jul 2021
Social Coordination and Altruism in Autonomous Driving Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 24 66 0 01 Jul 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 38 11 0 12 Jun 2021
The Confluence of Networks, Games and Learning Tao Li Guanze Peng Quanyan Zhu Tamer Basar AI4CE 8 46 0 17 May 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 31 7 0 21 Feb 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 35 237 0 06 Nov 2020
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games Shiva Navabi Osonde A. Osoba 18 2 0 04 Oct 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 35 174 0 24 Jul 2020
The Evolutionary Dynamics of Independent Learning Agents in Population Games Shuyue Hu Chin-wing Leung Ho-fung Leung Harold Soh AI4CE 13 3 0 29 Jun 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 24 61 0 16 Jun 2020
Decentralized MCTS via Learned Teammate Models A. Czechowski F. Oliehoek 224 19 0 19 Mar 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 17 87 0 16 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 Feb 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory Yunlong Lu Kai Yan AI4CE 15 13 0 17 Jan 2020
Interactive AI with a Theory of Mind M. Çelikok Tomi Peltola Pedram Daee Samuel Kaski 25 19 0 01 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019
A Sufficient Statistic for Influence in Structured Multiagent Environments F. Oliehoek Stefan J. Witwicki L. Kaelbling 17 23 0 22 Jul 2019
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing Lei Lei Huijuan Xu Xiong Xiong K. Zheng W. Xiang Xianbin Wang 20 51 0 19 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kaipeng Zhang Zhuoran Yang Tamer Basar 32 125 0 31 May 2019
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing Hangyu Mao Zhibo Gong Zhengchao Zhang Zhen Xiao Yan Ni AI4CE 17 20 0 26 Feb 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 72 0 12 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 8 148 0 21 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 43 551 0 12 Oct 2018
Towards Efficient Detection and Optimal Response against Sophisticated Opponents Tianpei Yang Zhaopeng Meng Jianye Hao Chongjie Zhang Yan Zheng Ze Zheng AAML 23 12 0 12 Sep 2018