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Denis Belomestny — most-cited papers & profile · Reinforcement Learning
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Denis Belomestny
13
papers ·
13
citations ·
17
h-index
National Research University Higher School of Economics · University of Duisburg-Essen
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Most-cited papers
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
2022 · 3 citations
Variance Reduction For Policy-gradient Methods Via Empirical Variance Minimization
2022 · 2 citations
Mathematical methods of reinforcement learning
2026
Statistical analysis of Inverse Entropy-regularized Reinforcement Learning
2025
Proximal Point Nash Learning from Human Feedback
2025
UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms
2021
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
2022
Fast Rates for Maximum Entropy Exploration
2023
Demonstration-Regularized RL
2023
Model-free Posterior Sampling via Learning Rate Randomization
2023
Weighted mesh algorithms for general Markov decision processes: Convergence and tractability
2024
Top co-authors
Alexey Naumov
· 9
Daniil Tiapkin
· 7
Eric Moulines
· 6
Michal Valko
· 6
Pierre Menard
· 6
Daniele Calandriello
· 5
Pierre Perrault
· 3
Remi Munos
· 3
Sergey Samsonov
· 3
Yunhao Tang
· 2
Alexander Gasnikov
· 1
Alexander Golubev
· 1
Topics
Exploration
Value-Based
Model-Based RL
Policy Gradient
RLHF & Alignment
Game AI
math.OC
stat.ML
cs.LG
math.ST