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Kate Larson — most-cited papers & profile · Reinforcement Learning
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Kate Larson
5
papers ·
8
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Exploring the Benefits of Teams in Multiagent Learning
2022 · 4 citations
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
2023 · 3 citations
Multi-Agent Advisor Q-Learning
2021 · 1 citations
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
2023
Top co-authors
Mark Crowley
· 2
Matthew E. Taylor
· 2
Sriram Ganapathi Subramanian
· 2
Daniel Hennes
· 1
David Radke
· 1
Ian Gemp
· 1
Kevin R. McKee
· 1
Luke Marris
· 1
Marc Lanctot
· 1
Michael P. Wellman
· 1
Paul Muller
· 1
Tim Brecht
· 1
Topics
Multi-Agent
Value-Based
Game AI
Meta-RL
Model-Based RL