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Luke Marris — most-cited papers & profile · Reinforcement Learning
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Luke Marris
4
papers ·
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citations
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Most-cited papers
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
2024
Game Theoretic Rating in N-player general-sum games with Equilibria
2022
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
2023
Top co-authors
Ian Gemp
· 3
Marc Lanctot
· 2
Andreas Haupt
· 1
Daniel Hennes
· 1
Georgios Piliouras
· 1
Jerome Connor
· 1
Karl Tuyls
· 1
Kate Larson
· 1
Kevin R. McKee
· 1
Michael P. Wellman
· 1
Paul Muller
· 1
Shayegan Omidshafiei
· 1
Topics
Multi-Agent
Game AI
Safe RL
Model-Based RL