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Quantifying Agent Interaction in Multi-agent Reinforcement Learning for
  Cost-efficient Generalization

Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization

11 October 2023
Yuxin Chen
Chen Tang
Ran Tian
Chenran Li
Jinning Li
Masayoshi Tomizuka
Wei Zhan
ArXivPDFHTML

Papers citing "Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization"

6 / 6 papers shown
Title
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
Kunal Jha
Wilka Carvalho
Yancheng Liang
S. Du
Max Kleiman-Weiner
Natasha Jaques
22
0
0
17 Apr 2025
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
44
3
0
25 Jun 2024
Collaborating with Humans without Human Data
Collaborating with Humans without Human Data
D. Strouse
Kevin R. McKee
M. Botvinick
Edward Hughes
Richard Everett
113
158
0
15 Oct 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting
  Pot
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z. Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
50
100
0
14 Jul 2021
Quantifying the effects of environment and population diversity in
  multi-agent reinforcement learning
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
Kevin R. McKee
Joel Z. Leibo
Charlie Beattie
Richard Everett
33
30
0
16 Feb 2021
"Other-Play" for Zero-Shot Coordination
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu
Adam Lerer
A. Peysakhovich
Jakob N. Foerster
VLM
OffRL
127
213
0
06 Mar 2020
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