Edouard Leurent

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Dynamical Systems

Exploration Exploitation

Markov Decision Processes

Top Venues

Publications

Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. CoRR (2024)
Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver
Faster sorting algorithms discovered using deep reinforcement learning. Nat. 618 (7964) (2023)
Tom Zahavy, Vivek Veeriah, Shaobo Hou, Kevin Waugh, Matthew Lai, Edouard Leurent, Nenad Tomasev, Lisa Schut, Demis Hassabis, Satinder Singh
Diversifying AI: Towards Creative Chess with AlphaZero. CoRR (2023)
Pengming Wang, Mikita Sazanovich, Berkin Ilbeyi, Phitchaya Mangpo Phothilimthana, Manish Purohit, Han Yang Tay, Ngân Vu, Miaosen Wang, Cosmin Paduraru, Edouard Leurent, Anton Zhernov, Julian Schrittwieser, Thomas Hubert, Robert Tung, Paula Kurylowicz, Kieran Milan, Oriol Vinyals, Daniel J. Mankowitz
Optimizing Memory Mapping Using Deep Reinforcement Learning. CoRR (2023)
Pierre Schegg, Jérémie Dequidt, Eulalie Coevoet, Edouard Leurent, Rémi Sabatier, Philippe Preux, Christian Duriez
Automated Planning for Robotic Guidewire Navigation in the Coronary Arteries. RoboSoft (2022)
Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko
Adaptive Reward-Free Exploration. ALT (2021)
Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko
Fast active learning for pure exploration in reinforcement learning. ICML (2021)
Edouard Leurent, Denis V. Efimov, Odalric-Ambrym Maillard
Robust-Adaptive Interval Predictive Control for Linear Uncertain Systems. CoRR (2020)
Edouard Leurent, Denis V. Efimov, Odalric-Ambrym Maillard
Robust Estimation, Prediction and Control with Linear Dynamics and Generic Costs. CoRR (2020)
Edouard Leurent, Denis V. Efimov, Odalric-Ambrym Maillard
Robust-Adaptive Interval Predictive Control for Linear Uncertain Systems. CDC (2020)
Edouard Leurent, Odalric-Ambrym Maillard, Denis V. Efimov
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs. NeurIPS (2020)
Anders Jonsson, Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. NeurIPS (2020)
Edouard Leurent, Odalric-Ambrym Maillard
Monte-Carlo Graph Search: the Value of Merging Similar States. ACML (2020)
Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko
Fast active learning for pure exploration in reinforcement learning. CoRR (2020)
Anders Jonsson, Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. CoRR (2020)
Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko
Adaptive Reward-Free Exploration. CoRR (2020)
Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin
Scaling up budgeted reinforcement learning. CoRR (2019)
Edouard Leurent, Yann Blanco, Denis V. Efimov, Odalric-Ambrym Maillard
Approximate Robust Control of Uncertain Dynamical Systems. CoRR (2019)
Edouard Leurent, Denis V. Efimov, Tarek Raïssi, Wilfrid Perruquetti
Interval Prediction for Continuous-Time Systems with Parametric Uncertainties. CDC (2019)
Edouard Leurent, Odalric-Ambrym Maillard
Practical Open-Loop Optimistic Planning. CoRR (2019)
Edouard Leurent, Denis V. Efimov, Tarek Raïssi, Wilfrid Perruquetti
Interval Prediction for Continuous-Time Systems with Parametric Uncertainties. CoRR (2019)
Edouard Leurent, Odalric-Ambrym Maillard
Practical Open-Loop Optimistic Planning. ECML/PKDD (3) (2019)
Edouard Leurent, Jean Mercat
Social Attention for Autonomous Decision-Making in Dense Traffic. CoRR (2019)
Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, Olivier Pietquin
Budgeted Reinforcement Learning in Continuous State Space. NeurIPS (2019)