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Edward Lockhart — most-cited papers & profile · Reinforcement Learning
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Edward Lockhart
7
papers ·
840
citations
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Semantic Scholar ↗
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Most-cited papers
Relational Deep Reinforcement Learning
2018 · 160 citations
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
Human-Agent Cooperation in Bridge Bidding
2020 · 4 citations
Solving Common-Payoff Games with Approximate Policy Iteration
2021
Top co-authors
Finbarr Timbers
· 3
Karl Tuyls
· 3
Marc Lanctot
· 3
Neil Burch
· 3
Bart de Vylder
· 2
Daniel Hennes
· 2
Jean-Baptiste Lespiau
· 2
Sebastian Borgeaud
· 2
Shayegan Omidshafiei
· 2
Tom Eccles
· 2
Vinicius Zambaldi
· 2
Adam Santoro
· 1
Topics
Game AI
Multi-Agent
Value-Based
Model-Based RL
Offline RL
Policy Gradient