Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

19 March 2020

Tabish Rashid

Mikayel Samvelyan

Christian Schroeder de Witt

Papers citing "Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning"

50 / 296 papers shown

Title
Autonomous and Adaptive Role Selection for Multi-robot Collaborative Area Search Based on Deep Reinforcement Learning Lina Zhu Jiyu Cheng Hao Zhang Zhichao Cui Wei Zhang Yuehu Liu 36 1 0 04 Dec 2023
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach Bin Zhang Hangyu Mao Jingqing Ruan Ying Wen Yang Li ... Dapeng Li Ziyue Li Rui Zhao Lijuan Li Guoliang Fan LM&Ro LLMAG 19 34 0 23 Nov 2023
JaxMARL: Multi-Agent RL Environments in JAX Alex Rutherford Benjamin Ellis Matteo Gallici Jonathan Cook Andrei Lupu ... Bruno Lacerda Nick Hawes Tim Rocktaschel Chris Xiaoxuan Lu Jakob N. Foerster 33 20 0 16 Nov 2023
A Brain-inspired Theory of Collective Mind Model for Efficient Social Cooperation Zhuoya Zhao Feifei Zhao Shiwen Wang Yinqian Sun Yi Zeng 28 1 0 06 Nov 2023
Optimistic Multi-Agent Policy Gradient Wenshuai Zhao Yi Zhao Zhiyuan Li Arno Solin Joni Pajarinen 20 0 0 03 Nov 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 23 5 0 01 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 24 0 0 01 Nov 2023
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View Yasin Findik Paul Robinette Kshitij Jerath S. Ahmadzadeh 28 7 0 19 Oct 2023
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective Yasin Findik Hamid Osooli Paul Robinette Kshitij Jerath S. Ahmadzadeh 30 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 29 2 0 19 Oct 2023
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits Yuhang Zhang Marcos Quiñones-Grueiro Zhiyao Zhang Yanbing Wang William Barbour Gautam Biswas Dan Work 30 5 0 18 Oct 2023
Fact-based Agent modeling for Multi-Agent Reinforcement Learning Baofu Fang Caiming Zheng Hao Wang OffRL 16 0 0 18 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 28 2 0 15 Oct 2023
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios Yazhe Niu Yuan Pu Zhenjie Yang Xueyan Li Tong Zhou Jiyuan Ren Shuai Hu Hongsheng Li Yu Liu 90 12 0 12 Oct 2023
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning The Viet Bui Tien Mai Thanh Hong Nguyen 26 2 0 10 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 28 8 0 08 Oct 2023
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning Tao Li Juan Guevara Xinghong Xie Quanyan Zhu OffRL 34 1 0 06 Oct 2023
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control Rohit Bokade Xiaoning Jin Chris Amato 38 10 0 03 Oct 2023
COMPOSER: Scalable and Robust Modular Policies for Snake Robots Yuyou Zhang Yaru Niu Xingyu Liu Ding Zhao 24 2 0 02 Oct 2023
Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement Learning Chao Liu Zhaoyuan Gu Hanran Wu Deniz Irem Erus Ye Zhao 39 6 0 28 Sep 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization Chenyang Miao Yunduan Cui Huiyun Li Xin Wu 24 5 0 26 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning Jianzhun Shao Yun Qu Chen Chen Hongchang Zhang Xiangyang Ji OffRL 20 19 0 22 Sep 2023
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control Botian Xu Feng Gao Chao Yu Ruize Zhang Yi Wu Yu Wang 30 28 0 22 Sep 2023
Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions T. Shaik Xiaohui Tao Lin Li Haoran Xie Hongning Dai Jianming Yong OffRL 22 2 0 20 Sep 2023
MindAgent: Emergent Gaming Interaction Ran Gong Qiuyuan Huang Xiaojian Ma Hoi Vo Zane Durante ... Zilong Zheng Song-Chun Zhu Demetri Terzopoulos Fei-Fei Li Jianfeng Gao LM&Ro 107 62 0 18 Sep 2023
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning Parham Gohari Matthew T. Hale Ufuk Topcu OffRL 30 1 0 13 Sep 2023
A Review on Robot Manipulation Methods in Human-Robot Interactions Haoxu Zhang P. Kebria Shady M. K. Mohamed Samson Yu Saeid Nahavandi 26 0 0 09 Sep 2023
$${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning$ ${\rm E}(3)$ -Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen Qi Zhang 35 2 0 23 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 35 5 0 22 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
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games The Viet Bui Tien Mai T. Nguyen 13 1 0 20 Aug 2023
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding Jaeho Chung Jamil Fayyad Younes Al Younes H. Najjaran 27 13 0 11 Aug 2023
Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles Ruijin Sun Xiao Yang Nan Cheng Xiucheng Wang Chang Li OffRL 8 2 0 04 Aug 2023
Integrated Private Data Trading Systems for Data Marketplaces Weidong Li Mengxiao Zhang Libo Zhang Jiamou Liu 24 1 0 30 Jul 2023
Heterogeneous Embodied Multi-Agent Collaboration Xinzhu Liu Di Guo Huaping Liu 32 7 0 26 Jul 2023
Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results Yelisey Pitanov Alexey Skrynnik Anton Andreychuk Konstantin Yakovlev Aleksandr I. Panov 24 2 0 25 Jul 2023
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms R. Torbati Shubbham Lohiya Shivika Singh Meher Shashwat Nigam Harish Ravichandar 27 1 0 08 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 32 7 0 03 Jul 2023
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang F. Corman Andreas Krause Ilija Bogunovic 29 3 0 29 Jun 2023
Towards a Better Understanding of Learning with Multiagent Teams David Radke Kate Larson Timothy B. Brecht Kyle Tilbury LLMAG 30 3 0 28 Jun 2023
Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs Chenglu Sun Shuo Shen Sijia Xu Weidong Zhang 22 1 0 28 Jun 2023
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment Zixuan Wu Sean Ye Manisha Natarajan Letian Chen Rohan R. Paleja Matthew C. Gombolay 31 3 0 20 Jun 2023
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management Xianliang Yang Zhihao Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Jiang Bian 30 13 0 13 Jun 2023
Multi-agent Exploration with Sub-state Entropy Estimation Jian Tao Yang Zhang Yang Chen Xiu Li 23 1 0 10 Jun 2023
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu Rohan Chandra Tianrui Guan Amrit Singh Bedi Tianyi Zhou 32 4 0 09 Jun 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents Ziyuan Zhou Guanjun Liu AAML 21 7 0 09 Jun 2023
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit Xinhang Li Yiying Yang Zheng Yuan Zhe Wang Qinwen Wang Chen Xu Lei Li Jianhua He Lin Zhang 20 2 0 08 Jun 2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility C. Park Gyusun Kim Soohyun Park Soyi Jung Joongheon Kim 16 19 0 07 Jun 2023
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks Jichao Chen Omid Esrafilian Harald Bayerlein David Gesbert Marco Caccamo 21 4 0 03 Jun 2023
TorchRL: A data-driven decision-making library for PyTorch Albert Bou Matteo Bettini Sebastian Dittert Vikash Kumar Shagun Sodhani Xiaomeng Yang Gianni De Fabritiis Vincent Moens OffRL AI4CE 22 37 0 01 Jun 2023