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Tor Lattimore — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Tor Lattimore
11
papers ·
217
citations ·
27
h-index
Google DeepMind (United Kingdom) · Google (United Kingdom)
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Most-cited papers
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
2017 · 103 citations
Behaviour Suite for Reinforcement Learning
2019 · 36 citations
A Geometric Perspective on Optimal Representations for Reinforcement Learning
2019 · 34 citations
Thompson Sampling is Asymptotically Optimal in General Environments
2016 · 18 citations
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
2020 · 10 citations
Geometric Entropic Exploration
2021 · 8 citations
Online Sparse Reinforcement Learning
2020 · 3 citations
On the Optimality of Batch Policy Optimization Algorithms
2021 · 2 citations
Regret Bounds for Information-Directed Reinforcement Learning
2022 · 2 citations
Contextual Information-Directed Sampling
2022 · 1 citations
Probabilistic Inference in Reinforcement Learning Done Right
2023
Top co-authors
Botao Hao
· 4
Csaba Szepesvari
· 2
Csaba Szepesv\'ari
· 2
Dale Schuurmans
· 2
Mengdi Wang
· 2
Adrien Ali Taiga
· 1
Alaa Saade
· 1
Andre Saraiva
· 1
Benjamin Van Roy
· 1
Bernardo Avila Pires
· 1
Bilal Piot
· 1
Bo Dai
· 1
Topics
Exploration
Value-Based
Model-Based RL
Offline RL
Safe RL
Policy Gradient
Meta-RL