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2101.05507
Cited By
Evaluating the Robustness of Collaborative Agents
Adaptive Agents and Multi-Agent Systems (AAMAS), 2021
14 January 2021
P. Knott
Micah Carroll
Sam Devlin
K. Ciosek
Katja Hofmann
Anca Dragan
Rohin Shah
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Papers citing
"Evaluating the Robustness of Collaborative Agents"
15 / 15 papers shown
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
Tristan Tomilin
Luka van den Boogaard
Samuel Garcin
Bram Grooten
Meng Fang
Yali Du
Mykola Pechenizkiy
OffRL
223
0
0
17 Jun 2025
Birds of a Different Feather Flock Together: Exploring Opportunities and Challenges in Animal-Human-Machine Teaming
Myke C. Cohen
David A. Grimm
Reuth Mirsky
Xiaoyun Yin
138
1
0
17 Apr 2025
The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment Design
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
463
9
0
25 Jun 2024
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
276
19
0
08 Oct 2023
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Saaket Agashe
Yue Fan
Anthony Reyna
Xin Eric Wang
LLMAG
LRM
498
38
0
05 Oct 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
304
24
0
05 Jun 2023
COACH: Cooperative Robot Teaching
Conference on Robot Learning (CoRL), 2023
Cunjun Yu
Yiqing Xu
Linfeng Li
David Hsu
198
6
0
13 Feb 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
503
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
235
52
0
03 Feb 2023
Targets in Reinforcement Learning to solve Stackelberg Security Games
Saptarashmi Bandyopadhyay
Chenqi Zhu
Philip Daniel
Joshua Morrison
Ethan Shay
John P Dickerson
101
1
0
30 Nov 2022
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
Mesut Yang
Micah Carroll
Anca Dragan
278
15
0
03 Nov 2022
Over-communicate no more: Situated RL agents learn concise communication protocols
A. Kalinowska
Elnaz Davoodi
Florian Strub
Kory W. Mathewson
Ivana Kajić
Michael Bowling
Todd Murphey
P. Pilarski
140
4
0
02 Nov 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
391
87
0
22 Dec 2021
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
406
200
0
15 Oct 2021
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
Autonomous Agents and Multi-Agent Systems (AAMAS), 2021
Kevin R. McKee
Joel Z Leibo
Charlie Beattie
Richard Everett
251
40
0
16 Feb 2021
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