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Evolutionary Game Theory Squared: Evolving Agents in Endogenously
  Evolving Zero-Sum Games

Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games

AAAI Conference on Artificial Intelligence (AAAI), 2020
15 December 2020
Stratis Skoulakis
Tanner Fiez
Ryan Sim
Georgios Piliouras
Lillian J. Ratliff
ArXiv (abs)PDFHTML

Papers citing "Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games"

8 / 8 papers shown
Serious Games: Human-AI Interaction, Evolution, and Coevolution
Serious Games: Human-AI Interaction, Evolution, and Coevolution
Nandini Doreswamy
Louise Horstmanshof
104
0
0
22 May 2025
A Survey of Decision Making in Adversarial Games
A Survey of Decision Making in Adversarial GamesScience China Information Sciences (Sci. China Inf. Sci.), 2022
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
354
26
0
16 Jul 2022
A Coupling Approach to Analyzing Games with Dynamic Environments
A Coupling Approach to Analyzing Games with Dynamic EnvironmentsIEEE Transactions on Automatic Control (TAC), 2022
Brandon C. Collins
Shouhuai Xu
Philip N. Brown
166
0
0
13 Jul 2022
Online Learning in Periodic Zero-Sum Games
Online Learning in Periodic Zero-Sum GamesNeural Information Processing Systems (NeurIPS), 2021
Tanner Fiez
Ryann Sim
Stratis Skoulakis
Georgios Piliouras
Lillian J. Ratliff
157
18
0
05 Nov 2021
Playing Coopetitive Polymatrix Games with Small Manipulation Cost
Playing Coopetitive Polymatrix Games with Small Manipulation Cost
Shivakumar Mahesh
Nick Bishop
Le Cong Dinh
Long Tran-Thanh
217
0
0
26 Oct 2021
Evolutionary Dynamics and $Φ$-Regret Minimization in Games
Evolutionary Dynamics and ΦΦΦ-Regret Minimization in Games
Georgios Piliouras
Mark Rowland
Shayegan Omidshafiei
Romuald Elie
Daniel Hennes
Jerome T. Connor
K. Tuyls
232
2
0
28 Jun 2021
Robust Stochastic Stability in Dynamic and Reactive Environments
Robust Stochastic Stability in Dynamic and Reactive EnvironmentsIEEE Conference on Decision and Control (CDC), 2021
Brandon C. Collins
Lisa Hines
Gia Barboza
Philip N. Brown
275
4
0
24 Mar 2021
Learning in Matrix Games can be Arbitrarily Complex
Learning in Matrix Games can be Arbitrarily ComplexAnnual Conference Computational Learning Theory (COLT), 2021
Gabriel P. Andrade
Rafael Frongillo
Georgios Piliouras
266
30
0
05 Mar 2021
1
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