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Philippe Preux — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Philippe Preux
17
papers ·
34
citations
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Most-cited papers
gym-DSSAT: a crop model turned into a Reinforcement Learning environment
2022 · 11 citations
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action
2019 · 7 citations
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling
2020 · 5 citations
MERL: Multi-Head Reinforcement Learning
2019 · 4 citations
Learning Value Functions in Deep Policy Gradients using Residual Variance
2020 · 3 citations
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL
2019 · 2 citations
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
2021 · 2 citations
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness
2021 · 1 citations
Evaluating Interpretable Reinforcement Learning by Distilling Policies into Programs
2025
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning
2020
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences
2021
Entropy Regularized Reinforcement Learning with Cascading Networks
2022
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
2023
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs
2023
Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop
2024
Top co-authors
Hector Kohler
· 5
Riad Akrour
· 4
Mathieu Seurin
· 3
Nathan Grinsztajn
· 3
Odalric-Ambrym Maillard
· 3
Olivier Pietquin
· 3
Quentin Delfosse
· 3
Yannis Flet-Berliac
· 3
Alena Shilova
· 2
Florian Strub
· 2
Johan Ferret
· 2
Riccardo Della Vecchia
· 2
Topics
Policy Gradient
Model-Based RL
Value-Based
Exploration
Safe RL
RLHF & Alignment
Meta-RL
Game AI
Offline RL
Multi-Agent