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Nicolas Le Roux — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Nicolas Le Roux
11
papers ·
138
citations ·
32
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
A Geometric Perspective on Optimal Representations for Reinforcement Learning
2019 · 34 citations
The Value Function Polytope in Reinforcement Learning
2019 · 12 citations
Distributional reinforcement learning with linear function approximation
2019 · 6 citations
An operator view of policy gradient methods
2020 · 5 citations
Beyond variance reduction: Understanding the true impact of baselines on policy optimization
2020 · 4 citations
A general class of surrogate functions for stable and efficient reinforcement learning
2021 · 3 citations
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees
2023 · 1 citations
VinePPO: Refining Credit Assignment in RL Training of LLMs
2024 · 1 citations
Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs
2025
Efficient iterative policy optimization
2016
Top co-authors
Marc G. Bellemare
· 4
Marlos C. Machado
· 3
Pablo Samuel Castro
· 3
Dale Schuurmans
· 2
Robert Dadashi
· 2
Sharan Vaswani
· 2
Aaron Courville
· 1
Adrien Ali Taiga
· 1
Adrien Ali Ta\"iga
· 1
Alessandro Sordoni
· 1
Alex Fr\'echette
· 1
Amirhossein Kazemnejad
· 1
Topics
Policy Gradient
Value-Based
Offline RL
RLHF & Alignment
Model-Based RL
Exploration
Safe RL