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Timo Ewalds
Timo Ewalds
MSc CS University of Alberta; Google DeepMind
Verified email at ewalds.ca
Title
Cited by
Cited by
Year
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
41002019
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
10072017
Magnetic control of tokamak plasmas through deep reinforcement learning
J Degrave, F Felici, J Buchli, M Neunert, B Tracey, F Carpanese, T Ewalds, ...
Nature 602 (7897), 414-419, 2022
6042022
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 20, 2019
5402019
Improving alignment of dialogue agents via targeted human judgements
A Glaese, N McAleese, M Trębacz, J Aslanides, V Firoiu, T Ewalds, ...
arXiv preprint arXiv:2209.14375, 2022
2822022
OpenSpiel: A framework for reinforcement learning in games
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
2272019
GraphCast: Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
arXiv preprint arXiv:2212.12794, 2022
1632022
Learning skillful medium-range global weather forecasting
R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ...
Science 382 (6677), 1416-1421, 2023
992023
Guidelines for quantitative reconstruction of complex exit waves in HRTEM
C Ophus, T Ewalds
Ultramicroscopy 113, 88-95, 2012
362012
Starcraft ii unplugged: Large scale offline reinforcement learning
M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ...
Deep RL Workshop NeurIPS 2021, 2021
162021
Playing and solving Havannah
TV Ewalds
162012
The role of self-shadowing on growth and scaling laws of faceted polycrystalline thin films
C Ophus, T Ewalds, EJ Luber, D Mitlin
Acta materialia 58 (15), 5150-5159, 2010
142010
Gencast: Diffusion-based ensemble forecasting for medium-range weather
I Price, A Sanchez-Gonzalez, F Alet, T Ewalds, A El-Kadi, J Stott, ...
arXiv preprint arXiv:2312.15796, 2023
122023
& Quan, J.(2017). Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo
arXiv preprint arXiv:1708.04782, 0
7
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
M Mathieu, S Ozair, S Srinivasan, C Gulcehre, S Zhang, R Jiang, ...
arXiv preprint arXiv:2308.03526, 2023
32023
Towards practical reinforcement learning for tokamak magnetic control
BD Tracey, A Michi, Y Chervonyi, I Davies, C Paduraru, N Lazic, F Felici, ...
arXiv preprint arXiv:2307.11546, 2023
22023
Towards practical reinforcement learning for tokamak magnetic control
BD Tracey, A Michi, Y Chervonyi, I Davies, C Paduraru, N Lazic, F Felici, ...
Fusion Engineering and Design 200, 114161, 2024
12024
X-point radiator and power exhaust control in configurations with multiple X-points in TCV
S Gorno, O Fevrier, C Theiler, C Colandrea, F Bagnato, J Degrave, ...
APS Division of Plasma Physics Meeting Abstracts 2023, BI02. 002, 2023
2023
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