Value functions for depth-limited solving in zero-sum imperfect-information games

, , , , &
Artificial Intelligence 314 (C):103805 (2023)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.1016/j.artint.2022.103805

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 100,937

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Solving zero-sum one-sided partially observable stochastic games.Karel Horák, Branislav Bošanský, Vojtěch Kovařík & Christopher Kiekintveld - 2023 - Artificial Intelligence 316 (C):103838.
Limited lookahead in imperfect-information games.Christian Kroer & Tuomas Sandholm - 2020 - Artificial Intelligence 283 (C):103218.
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games.Kai Li, Hang Xu, Haobo Fu, Qiang Fu & Junliang Xing - 2024 - Artificial Intelligence 337 (C):104232.
Epistemic GDL: A logic for representing and reasoning about imperfect information games.Guifei Jiang, Dongmo Zhang, Laurent Perrussel & Heng Zhang - 2021 - Artificial Intelligence 294 (C):103453.
Automated construction of bounded-loss imperfect-recall abstractions in extensive-form games.Jiří Čermák, Viliam Lisý & Branislav Bošanský - 2020 - Artificial Intelligence 282 (C):103248.
Solving coalitional resource games.Paul E. Dunne, Sarit Kraus, Efrat Manisterski & Michael Wooldridge - 2010 - Artificial Intelligence 174 (1):20-50.
Robust learning with imperfect privileged information.Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang & Dacheng Tao - 2020 - Artificial Intelligence 282 (C):103246.
Approximate verification of strategic abilities under imperfect information.Wojciech Jamroga, Michał Knapik, Damian Kurpiewski & Łukasz Mikulski - 2019 - Artificial Intelligence 277 (C):103172.
Zero-sum Contexts.John-Michael Kuczynski - 2017 - Madison, WI, USA: Freud Institute.
Patrolling security games: Definition and algorithms for solving large instances with single patroller and single intruder.Nicola Basilico, Nicola Gatti & Francesco Amigoni - 2012 - Artificial Intelligence 184-185 (C):78-123.

Analytics

Added to PP
2022-10-21

Downloads
12 (#1,368,341)

6 months
5 (#1,038,502)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Vojtech Kovarik
Carnegie Mellon University

Citations of this work

No citations found.

Add more citations

References found in this work

Add more references