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Patrick Rebeschini — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Patrick Rebeschini
6
papers ·
4
citations ·
9
h-index
University of Oxford
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning
2021 · 3 citations
Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization
2022 · 1 citations
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
2023
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
2023
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
2023
Learning mirror maps in policy mirror descent
2024
Top co-authors
Carlo Alfano
· 4
Ciara Pike-Burke
· 2
Emmeran Johnson
· 2
Chris Lu
· 1
Rui Yuan
· 1
Sebastian Towers
· 1
Silvia Sapora
· 1
Topics
Policy Gradient
Model-Based RL
Multi-Agent
Offline RL
Exploration