Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

24 November 2019

Papers citing "Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms"

50 / 165 papers shown

Title
Convergence of Time-Averaged Mean Field Gradient Descent Dynamics for Continuous Multi-Player Zero-Sum Games Yulong Lu Pierre Monmarché MLT 34 0 0 12 May 2025
Multi-source Plume Tracing via Multi-Agent Reinforcement Learning Pedro Antonio Alarcon Granadeno Theodore Chambers J. Cleland-Huang AI4CE 14 0 0 12 May 2025
FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation Yuyao Zhang Yifu Yuan Prajwal Gurunath Tairan He Shayegan Omidshafiei Ali-akbar Agha-mohammadi Marcell Vazquez-Chanlatte Liam Pedersen Guanya Shi 34 0 0 10 May 2025
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian Sun Gang Wang AI4CE 57 1 0 08 May 2025
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation Songchen Fu Siang Chen Shaojing Zhao Letian Bai Ta Li Yonghong Yan 27 0 0 06 May 2025
A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models Liangbo Ning Ziran Liang Zhuohang Jiang Haohao Qu Yujuan Ding ... Xiao Wei Shanru Lin Hui Liu Philip S. Yu Qing Li LLMAG LM&Ro 91 6 0 30 Mar 2025
Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies Rashid Mushkani Hugo Berard Shin Koseki 134 1 0 16 Mar 2025
M3HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality Ziyan Wang Zhicheng Zhang Fei Fang Yali Du 41 0 0 03 Mar 2025
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning Yuqing Wang Xiao Yang 54 2 0 26 Feb 2025
Causal Mean Field Multi-Agent Reinforcement Learning Hao Ma Zhiqiang Pu Yi Pan Boyin Liu Junlong Gao Zhenyu Guo 83 0 0 20 Feb 2025
Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations Abdelrhman Shaheen Anas Badr Ali Abohendy Hatem Alsaadawy Nadine Alsayad 59 0 0 14 Feb 2025
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour Antoine Vivien Thomas Chaffre Matthew Stephenson Eva Artusi Paulo E. Santos Benoit Clement Karl Sammut AI4CE 66 0 0 10 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 54 0 0 08 Feb 2025
Uncertainty-Aware Planning for Heterogeneous Robot Teams using Dynamic Topological Graphs and Mixed-Integer Programming Cora A. Dimmig Kevin C. Wolfe Marin Kobilarov Joseph Moore Joseph L. Moore 61 1 0 20 Jan 2025
CREW: Facilitating Human-AI Teaming Research Lingyu Zhang Zhengran Ji Boyuan Chen 42 3 0 03 Jan 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 83 1 0 01 Dec 2024
A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs Myeongsoo Kim Tyler Stennett Saurabh Sinha Alessandro Orso 43 5 0 11 Nov 2024
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 43 0 0 24 Oct 2024
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 44 2 0 17 Oct 2024
On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration A. Farid Jafar Roshanian Malek Mouhoub 23 1 0 17 Sep 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 44 5 0 14 Aug 2024
A Survey on Self-play Methods in Reinforcement Learning Ruize Zhang Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 51 8 0 02 Aug 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 43 2 0 14 Jul 2024
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration Yang Zhang Shixin Yang Chenjia Bai Fei Wu Xiu Li Zhen Wang Xuelong Li LLMAG 36 25 0 23 May 2024
No Algorithmic Collusion in Two-Player Blindfolded Game with Thompson Sampling Ningyuan Chen Xuefeng Gao Yi Xiong 39 0 0 23 May 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective Muhammad Aneeq uz Zaman Alec Koppel Mathieu Laurière Tamer Basar 39 3 0 17 Mar 2024
Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range Yuzi Yan Yuan-Chung Shen 28 0 0 05 Mar 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges Xiang Yin Bingzhao Gao Xiao Yu 34 18 0 20 Feb 2024
Dataset Clustering for Improved Offline Policy Learning Qiang Wang Yixin Deng Francisco Roldan Sanchez Keru Wang Kevin McGuinness Noel E. O'Connor Stephen J. Redmond OffRL 29 2 0 14 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 24 2 0 03 Feb 2024
Sparse Mean Field Load Balancing in Large Localized Queueing Systems Anam Tahir Kai Cui Heinz Koeppl 22 0 0 20 Dec 2023
Human-Machine Teaming for UAVs: An Experimentation Platform Laila El Moujtahid S. Gottipati Clodéric Mars Matthew E. Taylor 16 1 0 18 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 20 10 0 18 Dec 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 34 1 0 28 Nov 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education Thomas M. Moerland Matthias Muller-Brockhausen Zhao Yang Andrius Bernatavicius Koen Ponse Tom Kouwenhoven Andreas Sauter Michiel van der Meer Bram M. Renting Aske Plaat OffRL 26 0 0 17 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 21 0 0 01 Nov 2023
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning Sleiman Safaoui Abraham P. Vinod Ankush Chakrabarty R. Quirynen Nobuyuki Yoshikawa Stefano Di Cairano 21 2 0 31 Oct 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework Arshia Soltani Moakhar Mohammad Azizmalayeri Hossein Mirzaei M. T. Manzuri M. Rohban 26 2 0 15 Oct 2023
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning Mingya Hua Bin Shuai Quan Zhou Jinhai Wang Yinglong He Hongming Xu 39 2 0 28 Aug 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making Giovanni Minelli Mirco Musolesi 33 0 0 21 Aug 2023
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management Rémi Leluc Elie Kadoche A. Bertoncello Sébastien Gourvénec 19 2 0 03 Aug 2023
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula Lijun Sun Yu-Cheng Chang Chao Lyu Chin-Teng Lin Yuhui Shi 38 1 0 27 Jul 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park Kaipeng Zhang Asuman Ozdaglar 30 8 0 13 Jul 2023
Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach Dong-hwan Lee 21 2 0 09 Jun 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates Siqi Zhang S. Choudhury Sebastian U. Stich Nicolas Loizou FedML 19 3 0 08 Jun 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin H. Permuter 18 3 0 12 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 40 3 0 08 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 55 7 0 24 Apr 2023