Vitaly Kurin
Vitaly Kurin
Machine Learning PhD student at the University of Oxford, Whiteson Research lab
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.ox.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Fast context adaptation via meta-learning
L Zintgraf, K Shiarli, V Kurin, K Hofmann, S Whiteson
International Conference on Machine Learning, 7693-7702, 2019
862019
The atari grand challenge dataset
V Kurin, S Nowozin, K Hofmann, L Beyer, B Leibe
arXiv preprint arXiv:1705.10998, 2017
302017
Learning from demonstration in the wild
F Behbahani, K Shiarlis, X Chen, V Kurin, S Kasewa, C Stirbu, J Gomes, ...
2019 International Conference on Robotics and Automation (ICRA), 775-781, 2019
202019
Caml: Fast context adaptation via meta-learning
LM Zintgraf, K Shiarlis, V Kurin, K Hofmann, S Whiteson
202018
Towards a principled integration of multi-camera re-identification and tracking through optimal bayes filters
L Beyer, S Breuers, V Kurin, B Leibe
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
172017
Deep coordination graphs
W Böhmer, V Kurin, S Whiteson
International Conference on Machine Learning, 980-991, 2020
132020
Fast efficient hyperparameter tuning for policy gradients
S Paul, V Kurin, S Whiteson
arXiv preprint arXiv:1902.06583, 2019
92019
Improving SAT solver heuristics with graph networks and reinforcement learning
V Kurin, S Godil, S Whiteson, B Catanzaro
arXiv preprint arXiv:1909.11830, 2019
62019
Fast efficient hyperparameter tuning for policy gradient methods
S Paul, V Kurin, S Whiteson
Advances in Neural Information Processing Systems, 4616-4626, 2019
52019
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
V Kurin, M Igl, T Rocktäschel, W Boehmer, S Whiteson
arXiv preprint arXiv:2010.01856, 2020
2020
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
V Kurin, S Godil, S Whiteson, B Catanzaro
Advances in Neural Information Processing Systems 33, 2020
2020
Robust cooperative synchronization of homogeneous agents with delays on directed communication graphs
B Alikoc, K Hengster-Movric
arXiv preprint arXiv:1911.10359, 2019
2019
AIMS CDT Project Report: Towards One-Shot Learning From Demonstration via Reinforcement Learning
MN Finean, LM Zintgraf, K Shiarlis, V Kurin, S Whiteson
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Artikkelit 1–13