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Csaba Szepesvári — most-cited papers & profile · Recommender Systems
← authors
·
overview
Csaba Szepesvári
25
papers ·
325
citations ·
57
h-index
University of Alberta
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Model-Based Reinforcement Learning with Value-Targeted Regression
2020 · 71 citations
Model-Free Linear Quadratic Control via Reduction to Expert Prediction
2018 · 54 citations
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
2020 · 37 citations
Behaviour Suite for Reinforcement Learning
2019 · 36 citations
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes
2020 · 23 citations
Exploration-Enhanced POLITEX
2019 · 19 citations
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
2021 · 18 citations
CoinDICE: Off-Policy Confidence Interval Estimation
2020 · 12 citations
Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models
2016 · 10 citations
Efficient Planning in Large MDPs with Weak Linear Function Approximation
2020 · 9 citations
Adaptive Approximate Policy Iteration
2020 · 8 citations
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
2021 · 3 citations
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
2021 · 2 citations
On the Optimality of Batch Policy Optimization Algorithms
2021 · 2 citations
Sample Efficient Deep Reinforcement Learning via Local Planning
2023 · 2 citations
Topics
Value-Based
Model-Based RL
Policy Gradient
Exploration
Offline RL
Safe RL
cs.LG
stat.ML
Game AI
Prompting