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A Survey of Decision Making in Adversarial Games

A Survey of Decision Making in Adversarial Games

Science China Information Sciences (Sci. China Inf. Sci.), 2022
16 July 2022
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
    AAML
ArXiv (abs)PDFHTML

Papers citing "A Survey of Decision Making in Adversarial Games"

4 / 4 papers shown
On the Trade-Off Between Transparency and Security in Adversarial Machine Learning
On the Trade-Off Between Transparency and Security in Adversarial Machine Learning
L. Fenaux
Christopher Srinivasa
Florian Kerschbaum
AAMLSILM
240
0
0
14 Nov 2025
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
Grasper: A Generalist Pursuer for Pursuit-Evasion Problems
Pengdeng Li
Shuxin Li
Xinrun Wang
Jakub Cerny
Youzhi Zhang
Stephen McAleer
Hau Chan
Bo An
229
10
0
19 Apr 2024
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games
Near-Optimal ΦΦΦ-Regret Learning in Extensive-Form GamesInternational Conference on Machine Learning (ICML), 2022
Ioannis Anagnostides
Gabriele Farina
Tuomas Sandholm
233
7
0
20 Aug 2022
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
571
962
0
06 Jan 2017
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