Opponent Modeling
Opponent Modeling is a computational framework in game-playing research that involves constructing and updating predictive models of an opponent's strategies, intentions, or decision-making processes to inform and optimize one's own actions within competitive interactions.
221
Publications
13.5K
Citations
526
Authors
215
Institutions
Publications per year
2017–2026
51
221
Wako Yoshida, Raymond J. Dolan, Karl Friston · PLoS Computational Biology · 2008 · 331 citations · Full text
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University of Alberta
Edmonton, Canada
13 h-index
36 publications
2.4K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
22 publications
875 citations

Delft University of Technology
Delft, The Netherlands
7 h-index
17 publications
1.2K citations
Maastricht University
Maastricht, The Netherlands
7 h-index
13 publications
285 citations
The University of Texas at Austin
Austin, United States
6 h-index
16 publications
1.8K citations
University College London
London, United Kingdom
5 h-index
12 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
7 publications
227 citations
University of Maryland, College Park
College Park, United States
5 h-index
14 publications
461 citations
1–8 of 215
Repository · 10 publications · 361 citations
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7 publications · 295 citations
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Conference · 5 publications · 106 citations
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5 publications · 3.8K citations
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5 publications · 131 citations
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