| Neural probabilistic motor primitives for humanoid control J Merel, L Hasenclever, A Galashov, A Ahuja, V Pham, G Wayne, YW Teh, ... arXiv preprint arXiv:1811.11711, 2018 | 213 | 2018 |
| 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, ... Journal of Artificial Intelligence Research 71, 41-88, 2021 | 187 | 2021 |
| Meta reinforcement learning as task inference J Humplik, A Galashov, L Hasenclever, PA Ortega, YW Teh, N Heess arXiv preprint arXiv:1905.06424, 2019 | 178 | 2019 |
| Task agnostic continual learning via meta learning X He, J Sygnowski, A Galashov, AA Rusu, YW Teh, R Pascanu arXiv preprint arXiv:1906.05201, 2019 | 137 | 2019 |
| Information asymmetry in KL-regularized RL A Galashov, SM Jayakumar, L Hasenclever, D Tirumala, J Schwarz, ... arXiv preprint arXiv:1905.01240, 2019 | 114 | 2019 |
| Behavior priors for efficient reinforcement learning D Tirumala, A Galashov, H Noh, L Hasenclever, R Pascanu, J Schwarz, ... Journal of Machine Learning Research 23 (221), 1-68, 2022 | 59 | 2022 |
| Exploiting hierarchy for learning and transfer in kl-regularized rl D Tirumala, H Noh, A Galashov, L Hasenclever, A Ahuja, G Wayne, ... arXiv preprint arXiv:1903.07438, 2019 | 49 | 2019 |
| Learning dexterous manipulation from suboptimal experts R Jeong, JT Springenberg, J Kay, D Zheng, Y Zhou, A Galashov, N Heess, ... arXiv preprint arXiv:2010.08587, 2020 | 47 | 2020 |
| Meta-learning surrogate models for sequential decision making A Galashov, J Schwarz, H Kim, M Garnelo, D Saxton, P Kohli, SM Eslami, ... arXiv preprint arXiv:1903.11907, 2019 | 35 | 2019 |
| Learning motor primitives and training a machine learning system using a linear-feedback-stabilized policy L Hasenclever, V Pham, J Merel, A Galashov US Patent 11,403,513, 2022 | 26 | 2022 |
| 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, ... Journal of Machine Learning Research 24 (308), 1-77, 2023 | 25 | 2023 |
| Information theoretic meta learning with gaussian processes MK Titsias, FJR Ruiz, S Nikoloutsopoulos, A Galashov Uncertainty in Artificial Intelligence, 1597-1606, 2021 | 21 | 2021 |
| Temporal difference uncertainties as a signal for exploration S Flennerhag, JX Wang, P Sprechmann, F Visin, A Galashov, ... arXiv preprint arXiv:2010.02255, 2020 | 21 | 2020 |
| Kalman filter for online classification of non-stationary data MK Titsias, A Galashov, A Rannen-Triki, R Pascanu, YW Teh, ... arXiv preprint arXiv:2306.08448, 2023 | 20 | 2023 |
| Accelerated diffusion models via speculative sampling V De Bortoli, A Galashov, A Gretton, A Doucet arXiv preprint arXiv:2501.05370, 2025 | 17 | 2025 |
| Non-stationary learning of neural networks with automatic soft parameter reset A Galashov, M Titsias, A György, C Lyle, R Pascanu, YW Teh, M Sahani Advances in Neural Information Processing Systems 37, 83197-83234, 2024 | 17 | 2024 |
| Data augmentation for efficient learning from parametric experts A Galashov, JS Merel, N Heess Advances in Neural Information Processing Systems 35, 31484-31496, 2022 | 17 | 2022 |
| A 2-approximate algorithm to solve one problem of the family of disjoint vector subsets AE Galashov, AV Kel’manov Automation and Remote Control 75 (4), 595-606, 2014 | 17 | 2014 |
| Deep MMD gradient flow without adversarial training A Galashov, V De Bortoli, A Gretton arXiv preprint arXiv:2405.06780, 2024 | 13 | 2024 |
| Continually learning representations at scale A Galashov, J Mitrovic, D Tirumala, YW Teh, T Nguyen, A Chaudhry, ... Conference on Lifelong Learning Agents, 534-547, 2023 | 13 | 2023 |
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Director, Google DeepMindVerified email at stats.ox.ac.uk
Nicolas HeessDeepMindVerified email at google.com
Razvan PascanuGoogle DeepMind & MilaVerified email at razp.info
Jonathan Richard SchwarzImperial College London & Thomson ReutersVerified email at ic.ac.uk
Guillaume DesjardinsGoogle DeepMindVerified email at google.com
Josh MerelFaunaVerified email at google.com
Wojciech Marian Czarnecki.Verified email at google.com
Hyeonwoo NohOpenAIVerified email at openai.com
Marta GarneloResearch Scientist at DeepMindVerified email at google.com
Pushmeet KohliVP of Science, Google DeepMindVerified email at google.com
S. M. Ali EslamiGoogle DeepMindVerified email at google.com
Hyunjik KimResearch Scientist, DeepMindVerified email at google.com
David SaxtonGoogle DeepMindVerified email at google.com
Alexander Kel'manovSobolev Institute of MathematicsVerified email at math.nsc.ru
Saining XieAMI Labs; New York UniversityVerified email at nyu.edu
Siqi LiuDeepMind, University College of LondonVerified email at google.com