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2020 – today
- 2024
[j4]Raphaël Boige, Yannis Flet-Berliac, Lars C. P. M. Quaedvlieg, Arthur Flajolet, Guillaume Richard, Thomas Pierrot:
PASTA: Pretrained Action-State Transformer Agents. RLJ 3: 1511-1532 (2024)- [j3]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024) - 2023
- [j2]Amelia Villegas-Morcillo
, Louis Robinson, Arthur Flajolet, Thomas D. Barrett:
ManyFold: an efficient and flexible library for training and validating protein folding models. Bioinform. 39(1) (2023) - [c6]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR 2023 - [c5]Thomas Pierrot, Arthur Flajolet:
Evolving Populations of Diverse RL Agents with MAP-Elites. ICLR 2023 - [i9]Thomas Pierrot, Arthur Flajolet:
Evolving Populations of Diverse RL Agents with MAP-Elites. CoRR abs/2303.12803 (2023) - [i8]Raphaël Boige, Yannis Flet-Berliac, Arthur Flajolet, Guillaume Richard, Thomas Pierrot:
PASTA: Pretrained Action-State Transformer Agents. CoRR abs/2307.10936 (2023) - [i7]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR abs/2308.03665 (2023) - 2022
- [c4]Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert:
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO 2022: 1075-1083 - [c3]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. ICML 2022: 6533-6547 - [i6]Arthur Flajolet, Claire Bizon Monroc, Karim Beguir, Thomas Pierrot:
Fast Population-Based Reinforcement Learning on a Single Machine. CoRR abs/2206.08888 (2022) - [i5]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR abs/2210.03516 (2022) - [i4]Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert:
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR abs/2211.13742 (2022)
2010 – 2019
- 2018
- [j1]Arthur Flajolet, Sebastien Blandin, Patrick Jaillet:
Robust Adaptive Routing Under Uncertainty. Oper. Res. 66(1): 210-229 (2018) - 2017
- [c2]Arthur Flajolet, Patrick Jaillet:
Real-Time Bidding with Side Information. NIPS 2017: 5162-5172 - [c1]Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet:
Online Learning with a Hint. NIPS 2017: 5299-5308 - 2015
- [i3]Arthur Flajolet, Patrick Jaillet:
Low regret bounds for Bandits with Knapsacks. CoRR abs/1510.01800 (2015) - 2014
- [i2]Arthur Flajolet, Sebastien Blandin, Patrick Jaillet:
Robust Adaptive Routing Under Uncertainty. CoRR abs/1408.3374 (2014) - [i1]Arthur Flajolet, Patrick Jaillet:
No-Regret Learnability for Piecewise Linear Losses. CoRR abs/1411.5649 (2014)
Coauthor Index
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