Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2404.03869
Cited By
Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
5 April 2024
Xudong Guo
Daming Shi
Junjie Yu
Wenhui Fan
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration"
19 / 19 papers shown
Title
Why Do Multi-Agent LLM Systems Fail?
Mert Cemri
Melissa Z. Pan
Shuyi Yang
Lakshya A Agrawal
Bhavya Chopra
...
Dan Klein
Kannan Ramchandran
Matei A. Zaharia
Joseph E. Gonzalez
Ion Stoica
LLMAG
Presented at
ResearchTrend Connect | LLMAG
on
23 Apr 2025
170
18
0
17 Mar 2025
Learning Multi-agent Multi-machine Tending by Mobile Robots
Abdalwhab Abdalwhab
Giovanni Beltrame
Samira Ebrahimi Kahou
David St-Onge
97
1
0
29 Aug 2024
Reinforcement learning
Florentin Wörgötter
55
2,569
0
16 May 2024
Theory of Mind for Multi-Agent Collaboration via Large Language Models
Huao Li
Yu Quan Chong
Simon Stepputtis
Joseph Campbell
Dana Hughes
Michael Lewis
Katia Sycara
LLMAG
53
67
0
16 Oct 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
195
170
0
04 Oct 2023
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
Muning Wen
J. Kuba
Runji Lin
Weinan Zhang
Ying Wen
Jun Wang
Yaodong Yang
66
183
0
30 May 2022
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning
Mingyu Yang
Jian Zhao
Xu Hu
Wen-gang Zhou
Jiangcheng Zhu
Houqiang Li
44
31
0
05 May 2022
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
90
236
0
23 Sep 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
51
16
0
01 Jun 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
64
208
0
04 Oct 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
81
790
0
19 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles
Tonghan Wang
Heng Dong
V. Lesser
Chongjie Zhang
74
215
0
18 Mar 2020
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
Weixun Wang
Tianpei Yang
Y. Liu
Jianye Hao
Xiaotian Hao
Yujing Hu
Yingfeng Chen
Changjie Fan
Yang Gao
AI4CE
35
110
0
06 Sep 2019
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach
Anton Raichuk
Piotr Stańczyk
Michal Zajac
Olivier Bachem
...
C. Riquelme
Damien Vincent
Marcin Michalski
Olivier Bousquet
Sylvain Gelly
123
400
0
25 Jul 2019
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Huichu Zhang
Siyuan Feng
Chang-rui Liu
Yaoyao Ding
Yichen Zhu
Zihan Zhou
Weinan Zhang
Yong Yu
Haiming Jin
Z. Li
AI4TS
AI4CE
26
274
0
13 May 2019
The StarCraft Multi-Agent Challenge
Mikayel Samvelyan
Tabish Rashid
Christian Schroeder de Witt
Gregory Farquhar
Nantas Nardelli
Tim G. J. Rudner
Chia-Man Hung
Philip Torr
Jakob N. Foerster
Shimon Whiteson
77
947
0
11 Feb 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
61
780
0
31 Dec 2018
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
234
18,685
0
20 Jul 2017
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
191
13,174
0
09 Sep 2015
1