Learning Nearly Decomposable Value Functions Via Communication Minimization

11 October 2019

Tonghan Wang

Papers citing "Learning Nearly Decomposable Value Functions Via Communication Minimization"

32 / 32 papers shown

Title
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 76 2 0 18 Feb 2025
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning Nikunj Gupta James Zachary Hare Rajgopal Kannan Viktor Prasanna GNN 85 0 0 06 Feb 2025
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 47 2 0 17 Oct 2024
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 49 5 0 11 Aug 2024
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition Wenjing Zhang Wei Zhang 47 0 0 04 Mar 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 24 2 0 03 Feb 2024
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning Jingdi Chen Tian-Shing Lan Carlee Joe-Wong 17 15 0 07 Aug 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Jie Song Mingli Song 34 18 0 27 May 2023
Low Entropy Communication in Multi-Agent Reinforcement Learning Lebin Yu Yunbo Qiu Qiexiang Wang Xudong Zhang Jian Wang 15 2 0 10 Feb 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games Paramita Koley Aurghya Maiti Niloy Ganguly Sourangshu Bhattacharya 29 1 0 14 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 35 5 0 11 Jan 2023
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 35 16 0 15 Dec 2022
Non-Linear Coordination Graphs Yipeng Kang Tonghan Wang Xiao-Ren Wu Qianlan Yang Chongjie Zhang 37 9 0 26 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 39 49 0 21 Sep 2022
Decentralized Coordination in Partially Observable Queueing Networks Jiekai Jia Anam Tahir Heinz Koeppl 39 1 0 29 Aug 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 34 32 0 15 Jun 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 38 19 0 09 Mar 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control Ruijie Zhu Lulu Li Shuning Wu Pei Lv Yafai Li Mingliang Xu 28 50 0 08 Mar 2022
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation Donghan Xie Zhi Wang Chunlin Chen D. Dong OffRL 31 8 0 06 Mar 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 26 0 0 20 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest Zeyang Liu Lipeng Wang Xuefeng Sui Kewu Sun Xuguang Lan 37 3 0 02 Dec 2021
Reinforced Natural Language Interfaces via Entropy Decomposition Xiaoran Wu Yipeng Kang LLMAG 30 0 0 23 Sep 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 28 0 30 Mar 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 30 39 0 04 Oct 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 51 437 0 03 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 35 174 0 24 Jul 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 28 32 0 31 May 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 67 771 0 19 Mar 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 Feb 2020
A Sufficient Statistic for Influence in Structured Multiagent Environments F. Oliehoek Stefan J. Witwicki L. Kaelbling 17 23 0 22 Jul 2019
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 66 1,656 0 30 Mar 2018
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 131 595 0 28 Feb 2017