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Jordan Boyd-Graber — most-cited papers & profile · Reinforcement Learning

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Jordan Boyd-Graber

6 papers · 182 citations · 0 h-index

University of Maryland, College Park

Google Scholar ↗Semantic Scholar ↗OpenAlex ↗

Most-cited papers

Opponent Modeling in Deep Reinforcement Learning
2016 · 109 citations

Top co-authors

Hal Daum\'e III · 1 He He · 1 Kevin Kwok · 1

Topics

Multi-Agent Game AI Value-Based