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David Szepesvari — most-cited papers & profile · Reinforcement Learning
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overview
David Szepesvari
5
papers ·
266
citations ·
6
h-index
Google Scholar ↗
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Most-cited papers
Adapting Behaviour for Learning Progress
2019 · 8 citations
When should agents explore?
2021 · 6 citations
Reward-Respecting Subtasks for Model-Based Reinforcement Learning
2022 · 2 citations
Rethinking the Foundations for Continual Reinforcement Learning
2025
Top co-authors
Diana Borsa
· 2
Georg Ostrovski
· 2
Tom Schaul
· 2
Adam White
· 1
B. K. Tanner
· 1
David Ding
· 1
Esraa Elelimy
· 1
Finbarr Timbers
· 1
Gerhard Holland
· 1
Marlos C. Machado
· 1
Martha White
· 1
Michael Bowling
· 1
Topics
Meta-RL
Exploration
Multi-Agent
Game AI
Model-Based RL
Value-Based
Safe RL