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Finbarr Timbers — most-cited papers & profile · Reinforcement Learning
← authors
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Finbarr Timbers
6
papers ·
275
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
2022 · 150 citations
OpenSpiel: A Framework for Reinforcement Learning in Games
2019 · 107 citations
The Advantage Regret-Matching Actor-Critic
2020 · 8 citations
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
2022 · 8 citations
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
2022 · 2 citations
Solving Common-Payoff Games with Approximate Policy Iteration
2021
Top co-authors
Marc Lanctot
· 4
Edward Lockhart
· 3
Jean-Baptiste Lespiau
· 3
Bart de Vylder
· 2
Daniel Hennes
· 2
Dustin Morrill
· 2
Edward Hughes
· 2
Karl Tuyls
· 2
Michael Bowling
· 2
Neil Burch
· 2
Shayegan Omidshafiei
· 2
Vinicius Zambaldi
· 2
Topics
Game AI
Multi-Agent
Model-Based RL
Value-Based
Policy Gradient
Exploration
Safe RL