Albert Thomas

According to our database, Albert Thomas authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Zero-shot Model-based Reinforcement Learning using Large Language Models.

Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl

CoRR, 2024

Differentially Private Model-Based Offline Reinforcement Learning.

Alexandre Rio, Merwan Barlier, Igor Colin, Albert Thomas

CoRR, 2024

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning.

Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl

CoRR, 2024

Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning.

Abdelhakim Benechehab, Albert Thomas, Balázs Kégl

CoRR, 2024

2023

Multi-timestep models for Model-based Reinforcement Learning.

Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl

CoRR, 2023

2022

Guided Safe Shooting: model based reinforcement learning with safety constraints.

Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl

CoRR, 2022

An α-No-Regret Algorithm For Graphical Bilinear Bandits.

Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre

CoRR, 2022

An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits.

Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Best Arm Identification in Graphical Bilinear Bandits.

Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre

Proceedings of the 38th International Conference on Machine Learning, 2021

Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?

Balázs Kégl, Gabriel Hurtado, Albert Thomas

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Refined bounds for randomized experimental design.

Geovani Rizk, Igor Colin, Albert Thomas, Moez Draief

CoRR, 2020

2018

Parallel Contextual Bandits in Wireless Handover Optimization.

Igor Colin, Albert Thomas, Moez Draief

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere.

Albert Thomas, Stéphan Clémençon, Alexandre Gramfort, Anne Sabourin

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2015

Calibration of One-Class SVM for MV set estimation.

Albert Thomas, Vincent Feuillard, Alexandre Gramfort

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015