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Michal Valko — most-cited papers & profile · Computer Vision
← authors
·
overview
Michal Valko
37
papers ·
3658
citations ·
26
h-index
Institut national de recherche en sciences et technologies du numérique · University of Pittsburgh · Université de Lille · Google DeepMind (United Kingdom) · Catholic University in Ruzomberok
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Most-cited papers
Bayesian policy gradient and actor-critic algorithms
2026 · 34 citations
Monte-Carlo Tree Search as Regularized Policy Optimization
2020 · 34 citations
Fast active learning for pure exploration in reinforcement learning
2020 · 29 citations
Maximum Entropy Semi-Supervised Inverse Reinforcement Learning
2026 · 20 citations
A General Theoretical Paradigm to Understand Learning from Human Preferences
2023 · 14 citations
Adaptive Reward-Free Exploration
2020 · 11 citations
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
2020 · 9 citations
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
2020 · 9 citations
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning
2026 · 8 citations
No-Regret Exploration in Goal-Oriented Reinforcement Learning
2019 · 8 citations
Geometric Entropic Exploration
2021 · 8 citations
Retrieval-Augmented Reinforcement Learning
2022 · 6 citations
Planning in entropy-regularized Markov decision processes and games
2026 · 4 citations
Taylor Expansion Policy Optimization
2020 · 3 citations
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
2020 · 3 citations
Top co-authors
Bernardo Avila Pires
· 1
Bilal Piot
· 1
Carl Doersch
· 1
Corentin Tallec
· 1
Elena Buchatskaya
· 1
Florent Altch\'e
· 1
Florian Strub
· 1
Jean-bastien Grill
· 1
Koray Kavukcuoglu
· 1
Mohammad Gheshlaghi Azar
· 1
Pierre H. Richemond
· 1
R\'emi Munos
· 1
Topics
Model-Based RL
Value-Based
Exploration
Policy Gradient
Game AI
Offline RL
RLHF & Alignment
Meta-RL
Multi-Agent
Safe RL