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Daniil Tiapkin — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Daniil Tiapkin
16
papers ·
6
citations ·
3
h-index
National Research University Higher School of Economics · École Polytechnique · Laboratoire de Mathématiques d'Orsay · Centre de Mathématiques Appliquées de l'École polytechnique
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Most-cited papers
Primal-Dual Stochastic Mirror Descent for MDPs
2021 · 3 citations
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
2022 · 3 citations
Mathematical methods of reinforcement learning
2026
Proximal Point Nash Learning from Human Feedback
2025
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games
2025
On Global Convergence Rates for Federated Softmax Policy Gradient under Heterogeneous Environments
2025
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
2024
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
2022
Fast Rates for Maximum Entropy Exploration
2023
Generative Flow Networks as Entropy-Regularized RL
2023
Demonstration-Regularized RL
2023
Model-free Posterior Sampling via Learning Rate Randomization
2023
Top co-authors
Eric Moulines
· 8
Michal Valko
· 6
Daniele Calandriello
· 5
Rémi Munos
· 3
Yunhao Tang
· 2
Kashif Rasul
· 1
Mark Rowland
· 1
Topics
Value-Based
Model-Based RL
Exploration
Policy Gradient
Game AI
Multi-Agent
RLHF & Alignment
math.OC
Offline RL