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Simon Schmitt
Simon Schmitt
DeepMind
Verified email at google.com
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Year
Mastering atari, go, chess and shogi by planning with a learned model
J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ...
Nature 588 (7839), 604-609, 2020
12882020
Multi-task deep reinforcement learning with popart
M Hessel, H Soyer, L Espeholt, W Czarnecki, S Schmitt, H van Hasselt
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3796-3803, 2019
2082019
Kickstarting deep reinforcement learning
S Schmitt, JJ Hudson, A Zidek, S Osindero, C Doersch, WM Czarnecki, ...
Deep Reinforcement Learning Workshop, NeurIPS, 2018
942018
Muesli: Combining Improvements in Policy Optimization
M Hessel, I Danihelka, F Viola, A Guez, S Schmitt, L Sifre, T Weber, ...
The 38th International Conference on Machine Learning, 2021
442021
Off-Policy Actor-Critic with Shared Experience Replay
S Schmitt, M Hessel, K Simonyan
The 37th International Conference on Machine Learning, 2020
382020
Learning and Planning in Complex Action Spaces
T Hubert, J Schrittwieser, I Antonoglou, M Barekatain, S Schmitt, D Silver
The 38th International Conference on Machine Learning, 2021
262021
Gated linear networks
J Veness, T Lattimore, D Budden, A Bhoopchand, C Mattern, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 10015 …, 2021
252021
AlgebraNets
J Hoffmann, S Schmitt, S Osindero, K Simonyan, E Elsen
arXiv preprint arXiv:2006.07360, 2020
72020
Finding polynomial roots by dynamical systems -- A case study
S Shemyakov, R Chernov, D Rumiantsau, D Schleicher, S Schmitt, ...
Discrete & Continuous Dynamical Systems 40 (12), 6945-6965, 2020
72020
Chaining Value Functions for Off-Policy Learning
S Schmitt, J Shawe-Taylor, H van Hasselt
arXiv preprint arXiv:2201.06468, 2022
2022
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