摘要
We show that the problem of finding an approximate Nash equilibrium with a polynomial precision is PPAD-hard even for two-player sparse win-lose games (i.e., games with {0, 1}-entries such that each row and column of the two n×n payoff matrices have at most O(log n) many ones). The proof is mainly based on a new class of prototype games called Chasing Games, which we think is of independent interest in understanding the complexity of Nash equilibrium.
源语言 | 英语 |
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主期刊名 | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 |
出版商 | AAAI press |
页 | 1154-1160 |
页数 | 7 |
ISBN(电子版) | 9781577358008 |
出版状态 | 已出版 - 2018 |
已对外发布 | 是 |
活动 | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 - New Orleans, 美国 期限: 2 2月 2018 → 7 2月 2018 |
出版系列
姓名 | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 |
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会议
会议 | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 |
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国家/地区 | 美国 |
市 | New Orleans |
时期 | 2/02/18 → 7/02/18 |
指纹
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Liu, Z., & Sheng, Y. (2018). On the approximation of nash equilibria in sparse win-lose games. 在 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (页码 1154-1160). (32nd AAAI Conference on Artificial Intelligence, AAAI 2018). AAAI press.