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 / 170 papers shown

Title
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 30 17 0 30 Jun 2022
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality Rex Chen Fei Fang Norman M. Sadeh 32 8 0 23 Jun 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 29 13 0 11 Jun 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence Runyu Zhang Qinghua Liu Haiquan Wang Caiming Xiong Na Li Yu Bai 21 26 0 06 Jun 2022
Learning in Congestion Games with Bandit Feedback Qiwen Cui Zhihan Xiong Maryam Fazel S. Du 26 12 0 04 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP Yiwei Fu Dheeraj Kapilavai E. Way 17 1 0 31 May 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 29 24 0 05 May 2022
Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation Xing-ming Guo Bin Hu 11 2 0 20 Apr 2022
Multi-agent Actor-Critic with Time Dynamical Opponent Model Yuan Tian Klaus-Rudolf Kladny Qin Wang Zhiwu Huang Olga Fink AI4CE 18 7 0 12 Apr 2022
The Complexity of Markov Equilibrium in Stochastic Games C. Daskalakis Noah Golowich Kaipeng Zhang 36 57 0 08 Apr 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 33 33 0 15 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 35 19 0 09 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 36 9 0 23 Feb 2022
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking Zeyu Fang Jian Zhao Mingyu Yang Wen-gang Zhou Zhenbo Lu Houqiang Li 28 10 0 22 Feb 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 82 37 0 19 Feb 2022
Artificial Intelligence and Auction Design M. Banchio Andrzej Skrzypacz 33 28 0 12 Feb 2022
Doing Right by Not Doing Wrong in Human-Robot Collaboration Laura Londoño Adrian Rofer Tim Welschehold Abhinav Valada 6 4 0 05 Feb 2022
Interpretable Learned Emergent Communication for Human-Agent Teams Seth Karten Mycal Tucker Huao Li Siva Kailas Michael Lewis Katia P. Sycara AI4CE 23 10 0 19 Jan 2022
When is Offline Two-Player Zero-Sum Markov Game Solvable? Qiwen Cui S. Du OffRL 30 29 0 10 Jan 2022
Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation Mohammad Salimibeni Arash Mohammadi Parvin Malekzadeh Konstantinos N. Plataniotis 18 5 0 30 Dec 2021
Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games Zuguang Gao Qianqian Ma Tamer Bacsar J. Birge OffRL 22 7 0 15 Dec 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 18 2 0 25 Nov 2021
Finite-Time Error Bounds for Distributed Linear Stochastic Approximation Yixuan Lin V. Gupta Ji Liu 24 3 0 24 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
Independent Learning in Stochastic Games Asuman Ozdaglar M. O. Sayin Kaipeng Zhang 16 22 0 23 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 14 37 0 12 Nov 2021
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure Hsu Kao Chen-Yu Wei V. Subramanian 13 12 0 01 Nov 2021
An Economy of Neural Networks: Learning from Heterogeneous Experiences A. Kuriksha 11 7 0 22 Oct 2021
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games Bora Yongacoglu Gürdal Arslan S. Yüksel 32 15 0 09 Oct 2021
Robustness and sample complexity of model-based MARL for general-sum Markov games Jayakumar Subramanian Amit Sinha Aditya Mahajan 27 8 0 05 Oct 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 60 54 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
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 92 0 14 Sep 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) Washim Uddin Mondal Mridul Agarwal Vaneet Aggarwal S. Ukkusuri 33 43 0 09 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 145 0 26 Aug 2021
Graph Attention Network-based Multi-agent Reinforcement Learning for Slicing Resource Management in Dense Cellular Network Yan Shao Rongpeng Li Bing Hu Yingxiao Wu Zhifeng Zhao Honggang Zhang 28 46 0 11 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 32 36 0 05 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 11 40 0 29 Jul 2021
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty Yuanchao Xu Amal Feriani E. Hossain OffRL 26 4 0 16 Jul 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 25 41 0 08 Jul 2021
Discrete-Valued Neural Communication Dianbo Liu DianboLiu Alex Lamb Kenji Kawaguchi Anirudh Goyal Chen Sun Michael C. Mozer Yoshua Bengio 23 50 0 06 Jul 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Zhaolin Ren Na Li 26 43 0 01 Jun 2021
Programming and Deployment of Autonomous Swarms using Multi-Agent Reinforcement Learning Jayson G. Boubin Codi Burley Peida Han Bowen Li Barry Porter Christopher Stewart 22 3 0 21 May 2021
Discrete-Time Mean Field Control with Environment States Kai Cui Anam Tahir Mark Sinzger Heinz Koeppl AI4CE 14 13 0 30 Apr 2021
Adversarial attacks in consensus-based multi-agent reinforcement learning Martin Figura K. Kosaraju V. Gupta AAML 22 28 0 11 Mar 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 12 144 0 16 Feb 2021
Multi-Agent Reinforcement Learning with Temporal Logic Specifications Lewis Hammond Alessandro Abate Julian Gutierrez Michael Wooldridge AI4CE 42 32 0 01 Feb 2021
Multi-Agent Active Search using Realistic Depth-Aware Noise Model Ramina Ghods W. Durkin J. Schneider 24 14 0 09 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 35 236 0 06 Nov 2020