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Vincent Micheli
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2020 – today
- 2024
- [i8]Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret:
Diffusion for World Modeling: Visual Details Matter in Atari. CoRR abs/2405.12399 (2024) - [i7]Vincent Micheli, Eloi Alonso, François Fleuret:
Efficient World Models with Context-Aware Tokenization. CoRR abs/2406.19320 (2024) - 2023
- [c5]Serhiy Kandul, Vincent Micheli, Juliane Beck, Thomas Burri, François Fleuret, Markus Kneer, Markus Christen:
Human control redressed: Comparing AI and human predictability in a real-effort task. CogSci 2023 - [c4]Vincent Micheli, Eloi Alonso, François Fleuret:
Transformers are Sample-Efficient World Models. ICLR 2023 - 2022
- [i6]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:
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR abs/2202.10583 (2022) - [i5]Vincent Micheli, Eloi Alonso, François Fleuret:
Transformers are Sample Efficient World Models. CoRR abs/2209.00588 (2022) - 2021
- [c3]Vincent Micheli, François Fleuret:
Language Models are Few-Shot Butlers. EMNLP (1) 2021: 9312-9318 - [c2]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:
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 2021: 13-28 - [i4]Vincent Micheli, Quentin Heinrich, François Fleuret, Wacim Belblidia:
Structural analysis of an all-purpose question answering model. CoRR abs/2104.06045 (2021) - [i3]Vincent Micheli, François Fleuret:
Language Models are Few-Shot Butlers. CoRR abs/2104.07972 (2021) - 2020
- [c1]Vincent Micheli, Martin d'Hoffschmidt, François Fleuret:
On the importance of pre-training data volume for compact language models. EMNLP (1) 2020: 7853-7858 - [i2]Vincent Micheli, Karthigan Sinnathamby, François Fleuret:
Multi-task Reinforcement Learning with a Planning Quasi-Metric. CoRR abs/2002.03240 (2020) - [i1]Vincent Micheli, Martin d'Hoffschmidt, François Fleuret:
On the importance of pre-training data volume for compact language models. CoRR abs/2010.03813 (2020)
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last updated on 2024-07-25 19:29 CEST by the dblp team
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