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Simon Schmitt
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Publications
- 2023
- [c21]Simon Schmitt, John Shawe-Taylor, Hado van Hasselt:
Exploration via Epistemic Value Estimation. AAAI 2023: 9742-9751 - [i12]Simon Schmitt, John Shawe-Taylor, Hado van Hasselt:
Exploration via Epistemic Value Estimation. CoRR abs/2303.04012 (2023) - 2022
- [c20]Simon Schmitt, John Shawe-Taylor, Hado van Hasselt:
Chaining Value Functions for Off-Policy Learning. AAAI 2022: 8187-8195 - [i11]Simon Schmitt, John Shawe-Taylor, Hado van Hasselt:
Chaining Value Functions for Off-Policy Learning. CoRR abs/2201.06468 (2022) - 2021
- [c19]Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. AAAI 2021: 10015-10023 - [c18]Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt:
Muesli: Combining Improvements in Policy Optimization. ICML 2021: 4214-4226 - [c17]Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver:
Learning and Planning in Complex Action Spaces. ICML 2021: 4476-4486 - [i10]Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt:
Muesli: Combining Improvements in Policy Optimization. CoRR abs/2104.06159 (2021) - [i9]Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver:
Learning and Planning in Complex Action Spaces. CoRR abs/2104.06303 (2021) - [i8]Tim Hahn, Hamidreza Jamalabadi, Daniel Emden, Janik Goltermann, Jan Ernsting, Nils R. Winter, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Vincent Holstein, Marius Gruber, Dominik Grotegerd, Susanne Meinert, Katharina Dohm, Elisabeth J. Leehr, Maike Richter, Lisa Sindermann, Verena Enneking, Hannah Lemke, Stephanie H. Witt, Marcella Rietschel, Katharina Brosch, Julia-Katharina Pfarr, Tina Meller, Kai Gustav Ringwald, Simon Schmitt, Frederike Stein, Igor Nenadic, Tilo Kircher, Bertram Müller-Myhsok, Till F. M. Andlauer, Jonathan Repple, Udo Dannlowski, Nils Opel:
A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder. CoRR abs/2107.10178 (2021) - 2020
- [j2]Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver:
Mastering Atari, Go, chess and shogi by planning with a learned model. Nat. 588(7839): 604-609 (2020) - [c16]Simon Schmitt, Matteo Hessel, Karen Simonyan:
Off-Policy Actor-Critic with Shared Experience Replay. ICML 2020: 8545-8554 - [i6]Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen:
AlgebraNets. CoRR abs/2006.07360 (2020) - 2019
- [c15]Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-Task Deep Reinforcement Learning with PopArt. AAAI 2019: 3796-3803 - [i5]Simon Schmitt, Matteo Hessel, Karen Simonyan:
Off-Policy Actor-Critic with Shared Experience Replay. CoRR abs/1909.11583 (2019) - [i4]Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. CoRR abs/1910.01526 (2019) - [i3]Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy P. Lillicrap, David Silver:
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. CoRR abs/1911.08265 (2019) - 2018
- [i2]Simon Schmitt, Jonathan J. Hudson, Augustin Zídek, Simon Osindero, Carl Doersch, Wojciech M. Czarnecki, Joel Z. Leibo, Heinrich Küttler, Andrew Zisserman, Karen Simonyan, S. M. Ali Eslami:
Kickstarting Deep Reinforcement Learning. CoRR abs/1803.03835 (2018) - [i1]Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt:
Multi-task Deep Reinforcement Learning with PopArt. CoRR abs/1809.04474 (2018)
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