UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning

6 October 2020

Papers citing "UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning"

22 / 22 papers shown

Title
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning Nikunj Gupta James Zachary Hare Rajgopal Kannan Viktor Prasanna GNN 120 0 0 06 Feb 2025
Combining Behaviors with the Successor Features Keyboard Wilka Carvalho Andre Saraiva Angelos Filos Andrew Kyle Lampinen Loic Matthey Richard L. Lewis Honglak Lee Satinder Singh Danilo Jimenez Rezende Daniel Zoran 38 3 0 24 Oct 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 40 5 0 22 Aug 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 45 0 0 05 Jul 2023
Formal Modelling for Multi-Robot Systems Under Uncertainty Charlie Street Masoumeh Mansouri Bruno Lacerda 43 0 0 26 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 46 5 0 18 May 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Guangchong Zhou Zeren Zhang Guoliang Fan 46 3 0 04 Feb 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 45 87 0 14 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 29 7 0 10 Dec 2022
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 36 1 0 06 Dec 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning Lipeng Wan Zeyang Liu Xingyu Chen Xuguang Lan Han Wang 53 12 0 22 Nov 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 36 8 0 06 Mar 2022
Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning Seungchan Kim Neale Van Stralen Girish Chowdhary Huy T. Tran 19 0 0 15 Feb 2022
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning Hon Tik Tse Hofung Leung 35 1 0 26 Jan 2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu Kaixiang Lin Fei Niu Govind Thattai OffRL 42 0 0 21 Jan 2022
Offsetting Unequal Competition through RL-assisted Incentive Schemes Paramita Koley Aurghya Maiti Sourangshu Bhattacharya Niloy Ganguly 43 1 0 05 Jan 2022
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 32 9 0 27 Oct 2021
Model based Multi-agent Reinforcement Learning with Tensor Decompositions Pascal R. van der Vaart Anuj Mahajan Shimon Whiteson AI4CE 38 8 0 27 Oct 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 48 32 0 31 May 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 49 31 0 22 Mar 2021
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 357 0 16 Oct 2019
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip Torr Pushmeet Kohli Shimon Whiteson OffRL 134 596 0 28 Feb 2017