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A Generalised Method for Empirical Game Theoretic Analysis

A Generalised Method for Empirical Game Theoretic Analysis

16 March 2018
K. Tuyls
Julien Perolat
Marc Lanctot
Joel Z Leibo
T. Graepel
ArXiv (abs)PDFHTML

Papers citing "A Generalised Method for Empirical Game Theoretic Analysis"

16 / 16 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
126
0
0
17 Apr 2025
Role-Selection Game in Block Production under Proposer-Builder Separation
Role-Selection Game in Block Production under Proposer-Builder Separation
Yanzhen Li
Zining Wang
105
0
0
19 Mar 2025
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
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
102
17
0
05 Jun 2023
Evolutionary Game-Theoretical Analysis for General Multiplayer
  Asymmetric Games
Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games
Xinyu Zhang
Pengcheng Peng
Yushan Zhou
Haifeng Wang
Wenxin Li
17
6
0
22 Jun 2022
Modelling Behavioural Diversity for Learning in Open-Ended Games
Modelling Behavioural Diversity for Learning in Open-Ended Games
Nicolas Perez Nieves
Yaodong Yang
Oliver Slumbers
D. Mguni
Ying Wen
Jun Wang
84
71
0
14 Mar 2021
A game-theoretic analysis of networked system control for common-pool
  resource management using multi-agent reinforcement learning
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
Arnu Pretorius
Scott A. Cameron
Elan Van Biljon
Tom Makkink
Shahil Mawjee
J. D. Plessis
Jonathan P. Shock
Alexandre Laterre
Karim Beguir
67
12
0
15 Oct 2020
Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via
  Best Response
Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via Best Response
Rui Yan
Xiaoming Duan
Z. Shi
Yisheng Zhong
Jason R. Marden
Francesco Bullo
8
9
0
17 Jun 2020
Learning Probably Approximately Correct Maximin Strategies in
  Simulation-Based Games with Infinite Strategy Spaces
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
A. Marchesi
F. Trovò
N. Gatti
50
18
0
18 Nov 2019
A Generalized Training Approach for Multiagent Learning
A Generalized Training Approach for Multiagent Learning
Paul Muller
Shayegan Omidshafiei
Mark Rowland
K. Tuyls
Julien Perolat
...
Zhe Wang
Guy Lever
N. Heess
T. Graepel
Rémi Munos
102
93
0
27 Sep 2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot
Edward Lockhart
Jean-Baptiste Lespiau
V. Zambaldi
Satyaki Upadhyay
...
Julian Schrittwieser
Thomas W. Anthony
Edward Hughes
Ivo Danihelka
Jonah Ryan-Davis
OffRL
135
254
0
26 Aug 2019
Finding Friend and Foe in Multi-Agent Games
Finding Friend and Foe in Multi-Agent Games
Jack Serrino
Max Kleiman-Weiner
David C. Parkes
J. Tenenbaum
79
61
0
05 Jun 2019
$α$-Rank: Multi-Agent Evaluation by Evolution
ααα-Rank: Multi-Agent Evaluation by Evolution
Shayegan Omidshafiei
Christos H. Papadimitriou
Georgios Piliouras
K. Tuyls
Mark Rowland
Jean-Baptiste Lespiau
Wojciech M. Czarnecki
Marc Lanctot
Julien Perolat
Rémi Munos
128
121
0
04 Mar 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A
  Manifesto for Multi-Agent Intelligence Research
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
Joel Z Leibo
Edward Hughes
Marc Lanctot
T. Graepel
86
110
0
02 Mar 2019
Emergent Coordination Through Competition
Emergent Coordination Through Competition
Siqi Liu
Guy Lever
J. Merel
S. Tunyasuvunakool
N. Heess
T. Graepel
119
151
0
19 Feb 2019
Actor-Critic Policy Optimization in Partially Observable Multiagent
  Environments
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
S. Srinivasan
Marc Lanctot
V. Zambaldi
Julien Perolat
K. Tuyls
Rémi Munos
Michael Bowling
81
149
0
21 Oct 2018
Re-evaluating Evaluation
Re-evaluating Evaluation
David Balduzzi
K. Tuyls
Julien Perolat
T. Graepel
MoMe
84
101
0
07 Jun 2018
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