‪Grigorii Veviurko‬ - ‪Google Scholar‬

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Co-authors

Alison J. BarkerMax Planck Institute for Brain ResearchVerified email at brain.mpg.de
Wendelin BöhmerSequential Decision Making Group, Delft University of TechnologyVerified email at tudelft.nl
Mathijs de WeerdtFull Professor of Computer Science, Delft University of TechnologyVerified email at tudelft.nl

Grigorii Veviurko

Grigorii Veviurko

Verified email at tudelft.nl

Reinforcement learning Deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Cultural transmission of vocal dialect in the naked mole-rat AJ Barker, G Veviurko, NC Bennett, DW Hart, L Mograby, GR Lewin Science 371 (6528), 503-507, 2021	82	2021
Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability G Veviurko, W Böhmer, L Mackay, M de Weerdt Energies 15 (4), 1389, 2022	1	2022
To the Max: Reinventing Reward in Reinforcement Learning G Veviurko, W Böhmer, M de Weerdt arXiv preprint arXiv:2402.01361, 2024		2024
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization G Veviurko, W Böhmer, M de Weerdt arXiv preprint arXiv:2307.16304, 2023		2023

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