A Review of Cooperative Multi-Agent Deep Reinforcement Learning

11 August 2019

Papers citing "A Review of Cooperative Multi-Agent Deep Reinforcement Learning"

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Title
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning Xuechen Mu H. Zhuo C. L. P. Chen Kai Zhang Chao Yu Jianye Hao 19 1 0 14 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 17 10 0 31 May 2023
Attention Schema in Neural Agents Dianbo Liu Samuele Bolotta He Zhu Yoshua Bengio G. Dumas 15 3 0 27 May 2023
Large Language Model Guided Tree-of-Thought Jieyi Long LM&Ro LRM 9 113 0 15 May 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 17 3 0 10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation Lei Yuan F. Chen Zhongzhan Zhang Yang Yu AAML 34 8 0 09 May 2023
Multi-agent Continual Coordination via Progressive Task Contextualization Lei Yuan Lihe Li Ziqian Zhang Fuxiang Zhang Cong Guan Yang Yu CLL 8 7 0 07 May 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 17 2 0 07 May 2023
A framework for the emergence and analysis of language in social learning agents Tobias J. Wieczorek Tatjana Tchumatchenko Carlos Wert Carvajal Maximilian F. Eggl 19 1 0 04 May 2023
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments Junchao Li Mingyu Cai Z. Kan Shaoping Xiao 15 0 0 30 Apr 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation Zhan Gao Guangtao Yang Amanda Prorok 27 15 0 08 Mar 2023
Describe me an Aucklet: Generating Grounded Perceptual Category Descriptions Bill Noble N. Ilinykh 13 0 0 07 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 19 7 0 01 Mar 2023
Multi-Agent Reinforcement Learning for Pragmatic Communication and Control Federico Mason Federico Chiariotti Andrea Zanella P. Popovski AI4CE 13 6 0 28 Feb 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility Malintha Fernando Ransalu Senanayake Heeyoul Choi Martin Swany 9 4 0 14 Feb 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 8 18 0 26 Jan 2023
Distributed Optimization Methods for Multi-Robot Systems: Part I -- A Tutorial O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 14 19 0 26 Jan 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning Xu Hu Jian Zhao Wen-gang Zhou Ruili Feng Houqiang Li 24 1 0 25 Jan 2023
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges Yushan Han Hui Zhang Huifang Li Yi Jin Congyan Lang Yidong Li 8 52 0 16 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 29 5 0 05 Jan 2023
Cognitive Level- $k$ Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving Haozhe Lei Quanyan Zhu 6 0 0 17 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance C. Chang Ni Mu Jiajun Wu Ling Pan Huazhe Xu 32 7 0 05 Dec 2022
Decentralized Policy Optimization Kefan Su Zongqing Lu 11 8 0 06 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning Jennifer She Jayesh K. Gupta Mykel J. Kochenderfer 8 4 0 31 Oct 2022
A Cooperative Reinforcement Learning Environment for Detecting and Penalizing Betrayal Nikiforos Pittaras 8 1 0 23 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan M. Li Chao Qian Zongzhang Zhang Yang Yu 14 29 0 13 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 36 48 0 21 Sep 2022
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior H. Haeri Reza Ahmadzadeh Kshitij Jerath 17 10 0 12 Jul 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning Haoqi Yuan Zongqing Lu SSL OffRL 12 36 0 21 Jun 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 8 29 0 20 Jun 2022
Distributed Reinforcement Learning for Robot Teams: A Review Yutong Wang Mehul Damani Pamela Wang Yuhong Cao Guillaume Sartoretti 31 22 0 07 Apr 2022
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning Jian Zhao Xu Hu Mingyu Yang Wen-gang Zhou Jiangcheng Zhu Houqiang Li OffRL 14 16 0 16 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 21 25 0 15 Mar 2022
COLA: Consistent Learning with Opponent-Learning Awareness Timon Willi Alistair Letcher Johannes Treutlein Jakob N. Foerster 11 50 0 08 Mar 2022
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions Gangshan Jing H. Bai Jemin George A. Chakrabortty P. Sharma 9 0 0 26 Feb 2022
Attacking c-MARL More Effectively: A Data Driven Approach Nhan H. Pham Lam M. Nguyen Jie Chen Hoang Thanh Lam Subhro Das Tsui-Wei Weng AAML 19 2 0 07 Feb 2022
Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic Rodolfo Valiente Behrad Toghi Ramtin Pedarsani Y. P. Fallah 50 55 0 02 Feb 2022
Multi-Agent Adversarial Attacks for Multi-Channel Communications Juncheng Dong Suya Wu Mohammadreza Soltani Vahid Tarokh AAML 25 3 0 22 Jan 2022
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Michael I. Jordan 6 29 0 27 Dec 2021
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning Jiachen Yang Ethan Wang Rakshit S. Trivedi T. Zhao H. Zha 14 21 0 20 Dec 2021
Self-Organized Polynomial-Time Coordination Graphs Qianlan Yang Weijun Dong Zhizhou Ren Jianhao Wang Tonghan Wang Chongjie Zhang 13 16 0 07 Dec 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 19 57 0 29 Nov 2021
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO Paul Muller Mark Rowland Romuald Elie Georgios Piliouras Julien Perolat Mathieu Lauriere Raphaël Marinier Olivier Pietquin K. Tuyls 6 25 0 16 Nov 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 11 49 0 20 Oct 2021
Learning Cooperation and Online Planning Through Simulation and Graph Convolutional Network Rafid Ameer Mahmud Fahim Faisal Saaduddin Mahmud Md.Mosaddek Khan 10 1 0 16 Oct 2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks Maxime Bouton Hasan Farooq Julien Forgeat Shruti Bothe Meral Shirazipour P. Karlsson 18 11 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 49 52 0 28 Sep 2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates Jiahan Cao Lei Yuan Jianhao Wang Shaowei Zhang Chongjie Zhang Yang Yu De-Chuan Zhan 12 19 0 26 Sep 2021
Off-line approximate dynamic programming for the vehicle routing problem with a highly variable customer basis and stochastic demands M. Dastpak Fausto Errico O. Jabali 17 5 0 21 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 18 144 0 26 Aug 2021