Value-Decomposition Networks For Cooperative Multi-Agent Learning

16 June 2017

P. Sunehag

Guy Lever

A. Gruslys

Wojciech M. Czarnecki

Papers citing "Value-Decomposition Networks For Cooperative Multi-Agent Learning"

50 / 453 papers shown

Title
Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods Yang Hu Zhu Zhu Sirui Song Xue Liu Yang Yu 17 0 0 20 Nov 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 24 33 0 10 Nov 2021
DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning Zhaoxing Yang Rong Ding Haiming Jin Yifei Wei Haoyi You Guiyun Fan Xiaoying Gan Xinbing Wang 40 4 0 10 Nov 2021
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System Simon Vanneste Gauthier de Borrekens Stig Bosmans Astrid Vanneste Kevin Mets Siegfried Mercelis Steven Latré P. Hellinckx 15 1 0 29 Oct 2021
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning Astrid Vanneste Wesley Van Wijnsberghe Simon Vanneste Kevin Mets Siegfried Mercelis Steven Latré P. Hellinckx 24 4 0 29 Oct 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL Chi Jin Qinghua Liu Yuanhao Wang Tiancheng Yu OffRL 26 130 0 27 Oct 2021
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization Zhenghao Peng Quanyi Li Ka-Ming Hui Chunxiao Liu Bolei Zhou 44 59 0 26 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 37 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 12 1 0 16 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Yuan-Fang Wang Fangwei Zhong Jing Xu Yizhou Wang LLMAG 19 67 0 15 Oct 2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism Zhiwei Xu Yunpeng Bai Bin Zhang Dapeng Li Guoliang Fan 22 23 0 14 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain Alex Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 24 25 0 12 Oct 2021
Multi-Agent MDP Homomorphic Networks Elise van der Pol H. V. Hoof F. Oliehoek Max Welling AI4CE 46 28 0 09 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 62 55 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 34 19 0 26 Sep 2021
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 45 5 0 23 Sep 2021
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning Roy Zohar Shie Mannor Guy Tennenholtz 32 8 0 22 Sep 2021
Learning Multi-agent Action Coordination via Electing First-move Agent Jingqing Ruan Linghui Meng Xuantang Xiong Dengpeng Xing Bo Xu 31 2 0 20 Sep 2021
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning S. K. Perepu Kaushik Dey 24 0 0 14 Sep 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents Ammar Fayad M. Ibrahim 24 5 0 28 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 146 0 26 Aug 2021
Q-Mixing Network for Multi-Agent Pathfinding in Partially Observable Grid Environments Vasilii Davydov Alexey Skrynnik Konstantin Yakovlev Aleksandr I. Panov 13 3 0 13 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 42 36 0 05 Aug 2021
Centralized Model and Exploration Policy for Multi-Agent RL Qizhen Zhang Chris Xiaoxuan Lu Animesh Garg Jakob N. Foerster 30 15 0 14 Jul 2021
Stateless actor-critic for instance segmentation with high-level priors P. Hilt Maedeh Zarvandi Edgar Kaziakhmedov Sourabh Bhide Maria Leptin Constantin Pape Anna Kreshuk OffRL 24 0 0 06 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments Kai Liu Yuyang Zhao Gang Wang Bei Peng 25 18 0 01 Jul 2021
Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods Jian Hu Siyue Hu Shih-Wei Liao 25 13 0 27 Jun 2021
MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Yunpeng Bai Guoliang Fan 16 11 0 22 Jun 2021
Towards Distraction-Robust Active Visual Tracking Fangwei Zhong Peng Sun Wenhan Luo Tingyun Yan Yizhou Wang AAML 30 33 0 18 Jun 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising Chao Wen Miao Xu Zhilin Zhang Zhenzhe Zheng Yuhui Wang ... Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu Bo Zheng 29 15 0 11 Jun 2021
Metric Policy Representations for Opponent Modeling Haobin Jiang Yifan Yu Zongqing Lu 21 1 0 10 Jun 2021
Neural Auto-Curricula Xidong Feng Oliver Slumbers Bo Liu Bo Liu Stephen Marcus McAleer Ying Wen Jun Wang Yaodong Yang 35 1 0 04 Jun 2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment Tianze Zhou Fubiao Zhang Kun Shao Kai Li Wenhan Huang ... Hangyu Mao Bin Wang Dong Li Wulong Liu Jianye Hao 37 16 0 01 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 28 32 0 31 May 2021
Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition Bo Liu Qiang Liu Peter Stone Animesh Garg Yuke Zhu Anima Anandkumar 41 50 0 18 May 2021
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach Yan Li Lingxiao Wang Jiachen Yang Ethan Wang Zhaoran Wang T. Zhao H. Zha 23 22 0 18 May 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Yunru Bai Dapeng Li Bin Zhang Guoliang Fan 22 9 0 13 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 30 87 0 04 May 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning Changyin Sun Lijun Sun 27 16 0 02 May 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem Chengwei Zhang Shan Jin Wanli Xue Xiaofei Xie Shengyong Chen Rong Chen 37 24 0 22 Apr 2021
Joint Attention for Multi-Agent Coordination and Social Learning Dennis Lee Natasha Jaques Chase Kew Jiaxing Wu Douglas Eck Dale Schuurmans Aleksandra Faust 30 8 0 15 Apr 2021
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning Yuan Pu Shaochen Wang Rui Yang Xin Yao Bin Li 24 19 0 14 Apr 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 21 7 0 13 Apr 2021
Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices Haotian Liu Wenchuan Wu OffRL 21 6 0 13 Apr 2021
Learning to Coordinate via Multiple Graph Neural Networks Zhiwei Xu Bin Zhang Yunpeng Bai Dapeng Li Guoliang Fan GNN AI4CE 35 8 0 08 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World Florian Laurent Manuel Schneider Christian Scheller J. Watson Jiaoyang Li ... Nilabha Bhattacharya Shivam Agarwal A. Egli Erik Nygren Sharada Mohanty 36 27 0 30 Mar 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 50 15 0 27 Mar 2021
Spatial Intention Maps for Multi-Agent Mobile Manipulation Jimmy Wu Xingyuan Sun Andy Zeng Shuran Song Szymon Rusinkiewicz Thomas Funkhouser 34 23 0 23 Mar 2021
Reward-Reinforced Reinforcement Learning for Multi-agent Systems Changgang Zheng Shufan Yang Juan Marcelo Parra Ullauri A. García-Domínguez Nelly Bencomo 12 9 0 22 Mar 2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios Christoph Killing Adam R. Villaflor John M. Dolan 33 5 0 22 Mar 2021