Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2208.04957
Cited By
v1
v2
v3 (latest)
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution
IEEE Transactions on Evolutionary Computation (TEVC), 2022
3 January 2025
Ke Xue
Yutong Wang
Cong Guan
Lei Yuan
Haobo Fu
Qiang Fu
Chao Qian
Yang Yu
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution"
47 / 47 papers shown
CooT: Learning to Coordinate In-Context with Coordination Transformers
Huai-Chih Wang
Hsiang-Chun Chuang
Hsi-Chun Cheng
Dai-Jie Wu
Shao-Hua Sun
OffRL
153
0
0
30 Jun 2025
Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation
Chenxu Wang
Yonggang Jin
Cheng Hu
Youpeng Zhao
Zipeng Dai
Jian Zhao
Shiyu Huang
Liuyu Xiang
Junge Zhang
Zhaofeng He
162
1
0
20 Jun 2025
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit
Yang Li
Dengyu Zhang
Junfan Chen
Ying Wen
Qingrui Zhang
Shaoshuai Mou
Wei Pan
310
1
0
13 Sep 2024
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment
Lei Yuan
Ziqian Zhang
Lihe Li
Cong Guan
Yang Yu
LRM
205
64
0
02 Dec 2023
Efficient Human-AI Coordination via Preparatory Language-based Convention
Cong Guan
Lichao Zhang
Chunpeng Fan
Yi-Chen Li
Feng Chen
Lihe Li
Yunjia Tian
Lei Yuan
Yang Yu
LM&Ro
250
10
0
01 Nov 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
Neural Information Processing Systems (NeurIPS), 2023
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
269
18
0
08 Oct 2023
Learning to Coordinate with Anyone
International Conference on Distributed Artificial Intelligence (DAI), 2023
Lei Yuan
Lihe Li
Ziqian Zhang
F. Chen
Tianyi Zhang
Cong Guan
Yang Yu
Zhi Zhou
LLMAG
307
12
0
22 Sep 2023
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
Journal of Artificial Intelligence Research (JAIR), 2023
Yang Li
Shao Zhang
Jichen Sun
Wenhao Zhang
Yali Du
Ying Wen
Xinbing Wang
Wei Pan
284
23
0
05 Jun 2023
A Hierarchical Approach to Population Training for Human-AI Collaboration
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Yi Loo
Chen Gong
Malika Meghjani
209
9
0
26 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Yuan
Zifei Zhang
Ke Xue
Hao Yin
F. Chen
Cong Guan
Lihe Li
Chao Qian
Yang Yu
AAML
259
27
0
10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation
Lei Yuan
F. Chen
Zhongzhan Zhang
Yang Yu
AAML
324
14
0
09 May 2023
Multi-agent Continual Coordination via Progressive Task Contextualization
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Lei Yuan
Lihe Li
Ziqian Zhang
Fuxiang Zhang
Cong Guan
Yang Yu
CLL
245
11
0
07 May 2023
Cooperative Open-ended Learning Framework for Zero-shot Coordination
International Conference on Machine Learning (ICML), 2023
Yang Li
Shao Zhang
Jichen Sun
Yali Du
Ying Wen
Xinbing Wang
Wei Pan
492
34
0
09 Feb 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
International Conference on Learning Representations (ICLR), 2023
Chao Yu
Jiaxuan Gao
Weiling Liu
Bo Xu
Hao Tang
Jiaqi Yang
Yu Wang
Yi Wu
228
51
0
03 Feb 2023
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning
Hassam Sheikh
Mariano Phielipp
OffRL
183
5
0
02 Feb 2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Xingzhou Lou
Jiaxian Guo
Junge Zhang
Jun Wang
Kaiqi Huang
Yali Du
274
37
0
16 Jan 2023
Heterogeneous Beliefs and Multi-Population Learning in Network Games
Shuyue Hu
Harold Soh
Georgios Piliouras
249
2
0
12 Jan 2023
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL
J. Kuba
Xidong Feng
Shiyao Ding
Hao Dong
Jun Wang
Yaodong Yang
157
28
0
02 Aug 2022
Evolving Curricula with Regret-Based Environment Design
International Conference on Machine Learning (ICML), 2022
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
393
163
0
02 Mar 2022
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Keane Lucas
R. Allen
195
34
0
28 Jan 2022
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination
AAAI Conference on Artificial Intelligence (AAAI), 2021
Rui Zhao
Jinming Song
Yufeng Yuan
Haifeng Hu
Yang Gao
Yi Wu
Zhongqian Sun
Yang Wei
343
87
0
22 Dec 2021
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
406
199
0
15 Oct 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Journal of machine learning research (JMLR), 2021
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
S. Ukkusuri
464
53
0
09 Sep 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration
Conference on Robot Learning (CoRL), 2021
Chen Wang
Claudia Pérez-DÁrpino
Danfei Xu
Li Fei-Fei
Chenxi Liu
Silvio Savarese
320
41
0
13 Aug 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
Wanqi Xue
Wei Qiu
Bo An
Zinovi Rabinovich
S. Obraztsova
C. Yeo
AAML
290
41
0
09 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
424
218
0
27 Jul 2021
Off-Belief Learning
International Conference on Machine Learning (ICML), 2021
Hengyuan Hu
Adam Lerer
Brandon Cui
David J. Wu
Luis Pineda
Noam Brown
Jakob N. Foerster
OffRL
378
82
0
06 Mar 2021
Quality-Diversity Optimization: a novel branch of stochastic optimization
Konstantinos Chatzilygeroudis
Antoine Cully
Vassilis Vassiliades
Jean-Baptiste Mouret
315
112
0
08 Dec 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Neural Information Processing Systems (NeurIPS), 2020
Jack Parker-Holder
Luke Metz
Cinjon Resnick
Hengyuan Hu
Adam Lerer
Alistair Letcher
A. Peysakhovich
Aldo Pacchiano
Jakob N. Foerster
181
25
0
12 Nov 2020
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping
Ceyer Wakilpoor
Patrick J. Martin
Carrie Rebhuhn
Amanda Vu
172
25
0
06 Oct 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
International Conference on Machine Learning (ICML), 2020
Rui Wang
Joel Lehman
Aditya Rawal
Jiale Zhi
Yulun Li
Jeff Clune
Kenneth O. Stanley
326
142
0
19 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Journal of machine learning research (JMLR), 2020
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
444
613
0
10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
336
201
0
10 Mar 2020
"Other-Play" for Zero-Shot Coordination
International Conference on Machine Learning (ICML), 2020
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
487
257
0
06 Mar 2020
Effective Diversity in Population Based Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Jack Parker-Holder
Aldo Pacchiano
K. Choromanski
Stephen J. Roberts
380
179
0
03 Feb 2020
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
400
2,031
0
13 Dec 2019
On the Utility of Learning about Humans for Human-AI Coordination
Neural Information Processing Systems (NeurIPS), 2019
Micah Carroll
Rohin Shah
Mark K. Ho
Thomas Griffiths
Sanjit A. Seshia
Pieter Abbeel
Anca Dragan
HAI
282
481
0
13 Oct 2019
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach
Abhishek Gupta
Julian Ibarz
Sergey Levine
867
1,200
0
16 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
2.4K
10,060
0
04 Jan 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti
Vashisht Madhavan
F. Such
Joel Lehman
Kenneth O. Stanley
Jeff Clune
298
369
0
18 Dec 2017
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
...
D. Kumaran
T. Graepel
Timothy Lillicrap
Karen Simonyan
Demis Hassabis
461
1,979
0
05 Dec 2017
Population Based Training of Neural Networks
Max Jaderberg
Valentin Dalibard
Simon Osindero
Wojciech M. Czarnecki
Jeff Donahue
...
Tim Green
Iain Dunning
Karen Simonyan
Chrisantha Fernando
Koray Kavukcuoglu
309
813
0
27 Nov 2017
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals
T. Ewalds
Sergey Bartunov
Petko Georgiev
A. Vezhnevets
...
Anthony Brunasso
David Lawrence
Anders Ekermo
J. Repp
Rodney Tsing
286
933
0
16 Aug 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
1.2K
24,060
0
20 Jul 2017
Quality and Diversity Optimization: A Unifying Modular Framework
Antoine Cully
Y. Demiris
223
301
0
12 May 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
859
1,739
0
25 Jan 2017
Robots that can adapt like animals
Antoine Cully
Jeff Clune
Danesh Tarapore
Jean-Baptiste Mouret
523
1,088
0
13 Jul 2014
1
