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 / 112 papers shown

Title
Multi-agent Embodied AI: Advances and Future Directions Zhaohan Feng Ruiqi Xue Lei Yuan Yang Yu Ning Ding M. Liu Bingzhao Gao Jian-jun Sun Gang Wang AI4CE 52 0 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 5 0 30 Mar 2025
Negotiative Alignment: Embracing Disagreement to Achieve Fairer Outcomes -- Insights from Urban Studies Rashid Mushkani Hugo Berard Shin Koseki 92 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 39 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 75 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 57 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 60 0 0 10 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 52 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 34 3 0 03 Jan 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 81 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 39 5 0 11 Nov 2024
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Rohit Bokade Xiaoning Jin OffRL 35 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 39 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 39 2 0 17 Oct 2024
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning Jianye Xu Pan Hu Bassam Alrifaee 35 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 44 7 0 02 Aug 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 29 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 31 25 0 23 May 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective Muhammad Aneeq uz Zaman Alec Koppel Mathieu Laurière Tamer Basar 37 3 0 17 Mar 2024
Distributed Policy Gradient for Linear Quadratic Networked Control with Limited Communication Range Yuzi Yan Yuan-Chung Shen 21 0 0 05 Mar 2024
Human-Machine Teaming for UAVs: An Experimentation Platform Laila El Moujtahid S. Gottipati Clodéric Mars Matthew E. Taylor 11 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 11 10 0 18 Dec 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions Olivia Macmillan-Scott Mirco Musolesi 32 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 19 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 14 0 0 01 Nov 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 16 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 27 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 21 0 0 21 Aug 2023
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management Rémi Leluc Elie Kadoche A. Bertoncello Sébastien Gourvénec 11 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 26 1 0 27 Jul 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park K. Zhang Asuman Ozdaglar 21 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 11 2 0 09 Jun 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 35 2 0 05 Jun 2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks Shahaf Yamin H. Permuter 11 3 0 12 May 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 53 7 0 24 Apr 2023
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives Roberto Casadei AI4CE 16 15 0 11 Apr 2023
The challenge of redundancy on multi-agent value factorisation Siddarth S. Singh Benjamin Rosman 19 1 0 28 Mar 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning Chaofan Ma Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Yanfeng Wang Ya-Qin Zhang 25 22 0 19 Mar 2023
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games Anna Winnicki R. Srikant 22 1 0 17 Mar 2023
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games Awni Altabaa Bora Yongacoglu S. Yüksel 16 3 0 16 Mar 2023
Distributed Learning Meets 6G: A Communication and Computing Perspective Shashank Jere Yifei Song Y. Yi Lingjia Liu 14 10 0 02 Mar 2023
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility Malintha Fernando Ransalu Senanayake Heeyoul Choi Martin Swany 19 4 0 14 Feb 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation Swatantra Kafle Jithin Jagannath Zackary Kane Noor Biswas P. Kumar Anu Jagannath 21 1 0 04 Feb 2023
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems Xiao-Yang Liu Ming Zhu S. Borst A. Elwalid 33 8 0 04 Feb 2023
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 10 5 0 02 Feb 2023
A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers Shiva Ketabi Hongkai Chen Haiwei Dong Y. Ganjali 11 0 0 29 Jan 2023
Online Learning in Stackelberg Games with an Omniscient Follower Geng Zhao Banghua Zhu Jiantao Jiao Michael I. Jordan 28 14 0 27 Jan 2023