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Vitaly Kurin
Vitaly Kurin
Machine Learning PhD student at the University of Oxford, Whiteson Research lab
Verified email at cs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Fast context adaptation via meta-learning
L Zintgraf, K Shiarli, V Kurin, K Hofmann, S Whiteson
International Conference on Machine Learning, 7693-7702, 2019
2622019
Deep coordination graphs
W Böhmer, V Kurin, S Whiteson
International Conference on Machine Learning, 980-991, 2020
1062020
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
542019
The atari grand challenge dataset
V Kurin, S Nowozin, K Hofmann, L Beyer, B Leibe
arXiv preprint arXiv:1705.10998, 2017
462017
Minihack the planet: A sandbox for open-ended reinforcement learning research
M Samvelyan, R Kirk, V Kurin, J Parker-Holder, M Jiang, E Hambro, ...
arXiv preprint arXiv:2109.13202, 2021
282021
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
282017
Caml: Fast context adaptation via meta-learning
LM Zintgraf, K Shiarlis, V Kurin, K Hofmann, S Whiteson
272018
Fast efficient hyperparameter tuning for policy gradient methods
S Paul, V Kurin, S Whiteson
Advances in Neural Information Processing Systems 32, 2019
262019
Improving SAT solver heuristics with graph networks and reinforcement learning
V Kurin, S Godil, S Whiteson, B Catanzaro
252019
Fast efficient hyperparameter tuning for policy gradients
S Paul, V Kurin, S Whiteson
arXiv preprint arXiv:1902.06583, 2019
232019
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
222020
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, 9608-9621, 2020
202020
In defense of the unitary scalarization for deep multi-task learning
V Kurin, A De Palma, I Kostrikov, S Whiteson, MP Kumar
arXiv preprint arXiv:2201.04122, 2022
82022
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
C Blake, V Kurin, M Igl, S Whiteson
Advances in Neural Information Processing Systems 34, 23983-23992, 2021
42021
Insights from the neurips 2021 nethack challenge
E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ...
NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022
32022
You May Not Need Ratio Clipping in PPO
M Sun, V Kurin, G Liu, S Devlin, T Qin, K Hofmann, S Whiteson
arXiv preprint arXiv:2202.00079, 2022
22022
A generalist neural algorithmic learner
B Ibarz, V Kurin, G Papamakarios, K Nikiforou, M Bennani, R Csordás, ...
arXiv preprint arXiv:2209.11142, 2022
12022
Behaviour Models for Autonomous Vehicle Simulators
SA Whiteson, J Messias, X Chen, F Behbahani, K Shiarli, S Kasewa, ...
US Patent App. 16/978,446, 2021
2021
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Download PDF
V Kurin
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Download PDF
C Blake, V Kurin, M Igl, S Whiteson
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