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Meta-Learning surrogate models for sequential decision making.

A. Galashov, J. Schwarz, H. Kim, M. Garnelo, D. Saxton, P. Kohli, S. Eslami, and Y. Teh. CoRR, (2019)

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Alexandre Darmoise

Alexandre Martins

Alexandre Varnek

Alexandre Alexeev

Alexandre Nekrassov

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Game Plan: What AI can do for Football, and What Football can do for AI.K. Tuyls, S. Omidshafiei, P. Muller, Z. Wang, J. Connor, D. Hennes, I. Graham, W. Spearman, T. Waskett, D. Steele and 26 other author(s). J. Artif. Intell. Res., (2021)Information theoretic meta learning with Gaussian processes.M. Titsias, F. Ruiz, S. Nikoloutsopoulos, and A. Galashov. UAI, volume 161 of Proceedings of Machine Learning Research, page 1597-1606. AUAI Press, (2021)Learning Dexterous Manipulation from Suboptimal Experts.R. Jeong, J. Springenberg, J. Kay, D. Zheng, A. Galashov, N. Heess, and F. Nori. CoRL, volume 155 of Proceedings of Machine Learning Research, page 915-934. PMLR, (2020)Behavior Priors for Efficient Reinforcement Learning.D. Tirumala, A. Galashov, H. Noh, L. Hasenclever, R. Pascanu, J. Schwarz, G. Desjardins, W. Czarnecki, A. Ahuja, Y. Teh and 1 other author(s). J. Mach. Learn. Res., (2022)Neural Probabilistic Motor Primitives for Humanoid Control.J. Merel, L. Hasenclever, A. Galashov, A. Ahuja, V. Pham, G. Wayne, Y. Teh, and N. Heess. ICLR (Poster), OpenReview.net, (2019)NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.J. Bornschein, A. Galashov, R. Hemsley, A. Rannen-Triki, Y. Chen, A. Chaudhry, X. He, A. Douillard, M. Caccia, Q. Feng and 10 other author(s). CoRR, (2022)Continually learning representations at scale.A. Galashov, J. Mitrovic, D. Tirumala, Y. Teh, T. Nguyen, A. Chaudhry, and R. Pascanu. CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 534-547. PMLR, (2023)Towards Compute-Optimal Transfer Learning.M. Caccia, A. Galashov, A. Douillard, A. Rannen-Triki, D. Rao, M. Paganini, L. Charlin, M. Ranzato, and R. Pascanu. CoRR, (2023)Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models.A. Rannen-Triki, J. Bornschein, R. Pascanu, M. Hutter, A. György, A. Galashov, Y. Teh, and M. Titsias. CoRR, (2024)Meta-Learning surrogate models for sequential decision making.A. Galashov, J. Schwarz, H. Kim, M. Garnelo, D. Saxton, P. Kohli, S. Eslami, and Y. Teh. CoRR, (2019)

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Disambiguation of "Galashov, Alexandre"

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Meta-Learning surrogate models for sequential decision making.

Please choose a person to relate this publication to

Alexandre Darmoise

Alexandre Martins

Alexandre Varnek

Alexandre Alexeev

Alexandre Nekrassov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Galashov, Alexandre"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Meta-Learning surrogate models for sequential decision making.

Please choose a person to relate this publication to

Alexandre Darmoise

Alexandre Martins

Alexandre Varnek

Alexandre Alexeev

Alexandre Nekrassov

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Meta-Learning surrogate models for sequential decision making.