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Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution

3 January 2025

Papers citing "Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution"

45 / 45 papers shown

Title
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 74 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 42 36 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 79 8 0 01 Nov 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 67 11 0 08 Oct 2023
Learning to Coordinate with Anyone Lei Yuan Lihe Li Ziqian Zhang F. Chen Tianyi Zhang Cong Guan Yang Yu Zhi Zhou LLMAG 84 5 0 22 Sep 2023
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination Yang Li Shao Zhang Jichen Sun Wenhao Zhang Yali Du Ying Wen Xinbing Wang Wei Pan 66 16 0 05 Jun 2023
A Hierarchical Approach to Population Training for Human-AI Collaboration Yi Loo Chen Gong Malika Meghjani 55 8 0 26 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers Lei Yuan Zifei Zhang Ke Xue Hao Yin F. Chen Cong Guan Lihe Li Chao Qian Yang Yu AAML 77 17 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 81 10 0 09 May 2023
Multi-agent Continual Coordination via Progressive Task Contextualization Lei Yuan Lihe Li Ziqian Zhang Fuxiang Zhang Cong Guan Yang Yu CLL 70 7 0 07 May 2023
Cooperative Open-ended Learning Framework for Zero-shot Coordination Yang Li Shao Zhang Jichen Sun Yali Du Ying Wen Xinbing Wang Wei Pan 78 22 0 09 Feb 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased Chao Yu Jiaxuan Gao Weiling Liu Bo Xu Hao Tang Jiaqi Yang Yu Wang Yi Wu 72 42 0 03 Feb 2023
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning Hassam Sheikh Mariano Phielipp OffRL 41 6 0 02 Feb 2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination Xingzhou Lou Jiaxian Guo Junge Zhang Jun Wang Kaiqi Huang Yali Du 46 29 0 16 Jan 2023
Heterogeneous Beliefs and Multi-Population Learning in Network Games Shuyue Hu Harold Soh Georgios Piliouras 54 1 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 58 20 0 02 Aug 2022
Evolving Curricula with Regret-Based Environment Design Jack Parker-Holder Minqi Jiang Michael Dennis Mikayel Samvelyan Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 94 125 0 02 Mar 2022
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination Keane Lucas R. Allen 79 25 0 28 Jan 2022
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination Rui Zhao Jinming Song Yufeng Yuan Haifeng Hu Yang Gao Yi Wu Zhongqian Sun Yang Wei 68 67 0 22 Dec 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 167 168 0 15 Oct 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) Washim Uddin Mondal Mridul Agarwal Vaneet Aggarwal S. Ukkusuri 76 43 0 09 Sep 2021
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang Claudia Pérez-DÁrpino Danfei Xu Li Fei-Fei Chenxi Liu Silvio Savarese 101 34 0 13 Aug 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning Wanqi Xue Wei Qiu Bo An Zinovi Rabinovich S. Obraztsova C. Yeo AAML 85 35 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 103 190 0 27 Jul 2021
Off-Belief Learning Hengyuan Hu Adam Lerer Brandon Cui David J. Wu Luis Pineda Noam Brown Jakob N. Foerster OffRL 46 72 0 06 Mar 2021
Quality-Diversity Optimization: a novel branch of stochastic optimization Konstantinos Chatzilygeroudis Antoine Cully Vassilis Vassiliades Jean-Baptiste Mouret 107 95 0 08 Dec 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian Jack Parker-Holder Luke Metz Cinjon Resnick Hengyuan Hu Adam Lerer Alistair Letcher A. Peysakhovich Aldo Pacchiano Jakob N. Foerster 35 24 0 12 Nov 2020
Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping Ceyer Wakilpoor Patrick J. Martin Carrie Rebhuhn Amanda Vu 33 22 0 06 Oct 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 82 129 0 19 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 231 480 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 88 175 0 10 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 173 222 0 06 Mar 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 104 164 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 169 1,824 0 13 Dec 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 69 400 0 13 Oct 2019
Diversity is All You Need: Learning Skills without a Reward Function Benjamin Eysenbach Abhishek Gupta Julian Ibarz Sergey Levine 103 1,088 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 314 8,396 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 68 347 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 145 1,781 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 83 743 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 78 874 0 16 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 520 19,237 0 20 Jul 2017
Quality and Diversity Optimization: A Unifying Modular Framework Antoine Cully Y. Demiris 68 271 0 12 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 181 1,541 0 25 Jan 2017
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 87 1,038 0 13 Jul 2014