Vincent Micheli

According to our database, Vincent Micheli authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Diffusion for World Modeling: Visual Details Matter in Atari.

Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret

CoRR, 2024

Efficient World Models with Context-Aware Tokenization.

Vincent Micheli, Eloi Alonso, François Fleuret

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Transformers are Sample-Efficient World Models.

Vincent Micheli, Eloi Alonso, François Fleuret

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Human control redressed: Comparing AI and human predictability in a real-effort task.

Serhiy Kandul, Vincent Micheli, Juliane Beck, Thomas Burri, François Fleuret, Markus Kneer, Markus Christen

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2021

Structural analysis of an all-purpose question answering model.

Vincent Micheli, Quentin Heinrich, François Fleuret, Wacim Belblidia

CoRR, 2021

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.

Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Language Models are Few-Shot Butlers.

Vincent Micheli, François Fleuret

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Multi-task Reinforcement Learning with a Planning Quasi-Metric.

Vincent Micheli, Karthigan Sinnathamby, François Fleuret

CoRR, 2020

On the importance of pre-training data volume for compact language models.

Vincent Micheli, Martin d'Hoffschmidt, François Fleuret

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020