Tom Schaul

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David SilverDeepMind, UCLEmail confirmado em google.com
Juergen SchmidhuberKing Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of LuganoEmail confirmado em kaust.edu.sa
Daan WierstraPrincipal Scientist, DeepMindEmail confirmado em google.com
Nando de FreitasCIFAR & DeepMindEmail confirmado em google.com
Oriol VinyalsResearch Scientist at Google DeepMindEmail confirmado em google.com
Tobias GlasmachersEmail confirmado em idsia.ch
Will DabneyDeepMindEmail confirmado em google.com
Joseph ModayilOpenmind Research Institute & Keen AGIEmail confirmado em openmindresearch.org
Julian TogeliusAssociate Professor of Computer Science and Engineering, New York University; co-founder, modl.aiEmail confirmado em nyu.edu
koray kavukcuogluDeepMindEmail confirmado em kavukcuoglu.org
Andre BarretoResearch Scientist, Google DeepMindEmail confirmado em google.com
Rémi MunosFAIR, MetaEmail confirmado em inria.fr
Diana BorsaDeepMindEmail confirmado em google.com
Simon OsinderoPrincipal Scientist (Director) @ DeepMindEmail confirmado em google.com
Max JaderbergChief AI Officer, Isomorphic LabsEmail confirmado em robots.ox.ac.uk
Simon LucasProfessor of Artificial Intelligence, Queen Mary University of LondonEmail confirmado em qmul.ac.uk
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIEmail confirmado em ias.tu-darmstadt.de
Marc G. BellemareReliant AIEmail confirmado em reliant.ai
Karen SimonyanChief Scientist, Microsoft AIEmail confirmado em microsoft.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityEmail confirmado em cs.nyu.edu

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Tom Schaul

Senior Staff Scientist, DeepMind

Email confirmado em nyu.edu - Página inicial

Reinforcement Learning Deep Learning Deep Reinforcement Learning Game AI Exploration


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	5544	2016
Prioritized Experience Replay T Schaul, J Quan, I Antonoglou, D Silver International Conference on Learning Representations (ICLR), 2016	5510	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	5111	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	3006	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	2526	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	1840	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	1482	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	1390	2018
Universal value function approximators T Schaul, D Horgan, K Gregor, D Silver International Conference on Machine Learning (ICML-15), 1312-1320, 2015	1320	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	1215	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	1144	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	1120	2014
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	708	2017
No more pesky learning rates T Schaul, S Zhang, Y LeCun International Conference on Machine Learning (ICML'13), 2013	606	2013
AlphaStar: Mastering the Real-Time Strategy Game StarCraft II O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, W Czarnecki, ... (DeepMind blog), 2019	590	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	488	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	366*	2017
AI for social good: unlocking the opportunity for positive impact N Tomašev, J Cornebise, F Hutter, S Mohamed, A Picciariello, B Connelly, ... Nature Communications 11 (2468), 1-6, 2020	315	2020
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	289*	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	288	2013

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