Tom Schaul

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David SilverDeepMind, UCLDirección de correo verificada de google.com
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoDirección de correo verificada de kaust.edu.sa
Daan WierstraPrincipal Scientist, DeepMindDirección de correo verificada de google.com
Nando de FreitasCIFAR & DeepMindDirección de correo verificada de google.com
Tobias GlasmachersDirección de correo verificada de idsia.ch
Oriol VinyalsResearch Scientist at Google DeepMindDirección de correo verificada de google.com
Will DabneyDeepMindDirección de correo verificada de google.com
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiDirección de correo verificada de nyu.edu
Joseph ModayilDeepMindDirección de correo verificada de cs.ualberta.ca
Andre BarretoResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Rémi MunosDeepMindDirección de correo verificada de inria.fr
koray kavukcuogluDeepMindDirección de correo verificada de kavukcuoglu.org
Diana BorsaDeepMindDirección de correo verificada de google.com
Simon LucasProfessor of Artificial Intelligence, Queen Mary University of LondonDirección de correo verificada de qmul.ac.uk
Simon OsinderoPrincipal Scientist (Director) @ DeepMindDirección de correo verificada de google.com
Max JaderbergHead of ML, Isomorphic LabsDirección de correo verificada de robots.ox.ac.uk
Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtDirección de correo verificada de ias.tu-darmstadt.de
Marc G. BellemareGoogle BrainDirección de correo verificada de google.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityDirección de correo verificada de cs.nyu.edu
Karen SimonyanCo-Founder and Chief Scientist at Inflection AIDirección de correo verificada de inflection.ai

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Tom Schaul

Senior Staff Scientist, DeepMind

Dirección de correo verificada de nyu.edu - Página principal

Reinforcement Learning Deep Learning Deep Reinforcement Learning Game AI Exploration


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Prioritized Experience Replay T Schaul, J Quan, I Antonoglou, D Silver International Conference on Learning Representations (ICLR), 2016	4292	2016
Dueling Network Architectures for Deep Reinforcement Learning Z Wang, T Schaul, M Hessel, H van Hasselt, M Lanctot, N de Freitas International Conference on Machine Learning (ICML), 2016	4268	2016
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	3652	2019
Rainbow: Combining Improvements in Deep Reinforcement Learning M Hessel, J Modayil, H Van Hasselt, T Schaul, G Ostrovski, W Dabney, ... AAAI Conference on Artificial Intelligence, 2018	2322	2018
Learning to learn by gradient descent by gradient descent M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ... Neural Information Processing Systems (NeurIPS), 2016	2102	2016
Unifying Count-Based Exploration and Intrinsic Motivation MG Bellemare, S Srinivasan, G Ostrovski, T Schaul, D Saxton, R Munos Neural Information Processing Systems (NeurIPS), 2016	1510	2016
Reinforcement learning with unsupervised auxiliary tasks M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ... International Conference on Learning Representations (ICLR), 2017	1301	2017
Deep Q-learning from Demonstrations T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ... AAAI Conference on Artificial Intelligence, 2018	1093	2018
Universal value function approximators T Schaul, D Horgan, K Gregor, D Silver International Conference on Machine Learning (ICML-15), 1312-1320, 2015	1082	2015
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	1004	2017
Feudal networks for hierarchical reinforcement learning AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ... International Conference on Machine Learning (ICML), 2017	943	2017
Natural evolution strategies D Wierstra, T Schaul, T Glasmachers, Y Sun, J Peters, J Schmidhuber The Journal of Machine Learning Research 15 (1), 949-980, 2014	940	2014
No more pesky learning rates T Schaul, S Zhang, Y LeCun International Conference on Machine Learning (ICML'13), 2013	542	2013
Successor features for transfer in reinforcement learning A Barreto, W Dabney, R Munos, JJ Hunt, T Schaul, D Silver, ... Neural Information Processing Systems (NeurIPS), 2017	533	2017
AlphaStar: Mastering the Real-Time Strategy Game StarCraft II O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, W Czarnecki, ... (DeepMind blog), 2019	530	2019
PyBrain T Schaul, J Bayer, D Wierstra, Y Sun, M Felder, F Sehnke, T Rückstieß, ... Journal of Machine Learning Research 11 (Feb), 743-746, 2010	475	2010
The predictron: End-to-end learning and planning D Silver, H van Hasselt, M Hessel, T Schaul, A Guez*, T Harley, ... International Conference on Machine Learning (ICML), 2017	318*	2017
The 2014 General Video Game Playing Competition D Perez, S Samothrakis, J Togelius, T Schaul, S Lucas, A Couëtoux, ... Computational Intelligence and AI in Games, 2015	279*	2015
A video game description language for model-based or interactive learning T Schaul Conference on Computational Intelligence in Games (IEEE-CIG), 1-8, 2013	262	2013
General Video Game AI: Competition, Challenges and Opportunities D Perez-Liebana, S Samothrakis, J Togelius, T Schaul, SM Lucas AAAI What's Hot, 2016	216	2016

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