Approximate exploitability: Learning a best response in large games

20 April 2020

Papers citing "Approximate exploitability: Learning a best response in large games"

5 / 5 papers shown

Title
Solving Infinite-Player Games with Player-to-Strategy Networks Carlos Martin T. Sandholm 54 0 0 17 Jan 2025
The Adaptive Arms Race: Redefining Robustness in AI Security Ilias Tsingenopoulos Vera Rimmer Davy Preuveneers Fabio Pierazzi Lorenzo Cavallaro Wouter Joosen AAML 72 0 0 20 Dec 2023
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games Yang Li Kun Xiong Yingping Zhang Jiangcheng Zhu Stephen Marcus McAleer Wei Pan Jun Wang Zonghong Dai Yaodong Yang 39 2 0 09 Aug 2023
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks Carlos Martin T. Sandholm 28 11 0 29 Nov 2022
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games Kenshi Abe Kaito Ariu Mitsuki Sakamoto Kenta Toyoshima Atsushi Iwasaki 34 11 0 21 Aug 2022