متابعة
Andre Barreto
Andre Barreto
Research Scientist, Google DeepMind
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Successor features for transfer in reinforcement learning‏
A Barreto, W Dabney, R Munos, JJ Hunt, T Schaul, HP van Hasselt, ...‏
Advances in neural information processing systems 30, 2017‏
6952017
The predictron: End-to-end learning and planning‏
D Silver, H Hasselt, M Hessel, T Schaul, A Guez, T Harley, ...‏
International Conference on Machine Learning, 3191-3199, 2017‏
3212017
Transfer in deep reinforcement learning using successor features and generalised policy improvement‏
A Barreto, D Borsa, J Quan, T Schaul, D Silver, M Hessel, D Mankowitz, ...‏
International Conference on Machine Learning, 501-510, 2018‏
2102018
New machine learning and physics-based scoring functions for drug discovery‏
IA Guedes, AMS Barreto, D Marinho, E Krempser, MA Kuenemann, ...‏
Scientific reports 11 (1), 3198, 2021‏
2002021
Fast task inference with variational intrinsic successor features‏
S Hansen, W Dabney, A Barreto, T Van de Wiele, D Warde-Farley, V Mnih‏
arXiv preprint arXiv:1906.05030, 2019‏
1882019
Fast reinforcement learning with generalized policy updates‏
A Barreto, S Hou, D Borsa, D Silver, D Precup‏
Proceedings of the National Academy of Sciences 117 (48), 30079-30087, 2020‏
1582020
Universal successor features approximators‏
D Borsa, A Barreto, J Quan, D Mankowitz, R Munos, H Van Hasselt, ...‏
arXiv preprint arXiv:1812.07626, 2018‏
1512018
Value-aware loss function for model-based reinforcement learning‏
A Farahmand, A Barreto, D Nikovski‏
Artificial Intelligence and Statistics, 1486-1494, 2017‏
1382017
Temporally-extended {\epsilon}-greedy exploration‏
W Dabney, G Ostrovski, A Barreto‏
arXiv preprint arXiv:2006.01782, 2020‏
1162020
The option keyboard: Combining skills in reinforcement learning‏
A Barreto, D Borsa, S Hou, G Comanici, E Aygün, P Hamel, D Toyama, ...‏
Advances in Neural Information Processing Systems 32, 2019‏
1152019
The value equivalence principle for model-based reinforcement learning‏
C Grimm, A Barreto, S Singh, D Silver‏
Advances in neural information processing systems 33, 5541-5552, 2020‏
912020
The value-improvement path: Towards better representations for reinforcement learning‏
W Dabney, A Barreto, M Rowland, R Dadashi, J Quan, MG Bellemare, ...‏
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7160-7168, 2021‏
762021
Using performance profiles to analyze the results of the 2006 CEC constrained optimization competition‏
HJC Barbosa, HS Bernardino, AMS Barreto‏
IEEE congress on evolutionary computation, 1-8, 2010‏
742010
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning‏
A da Motta Salles Barreto, CW Anderson‏
Artificial Intelligence 172 (4-5), 454-482, 2008‏
732008
A definition of continual reinforcement learning‏
D Abel, A Barreto, B Van Roy, D Precup, HP van Hasselt, S Singh‏
Advances in Neural Information Processing Systems 36, 50377-50407, 2023‏
682023
An interactive genetic algorithm with co-evolution of weights for multiobjective problems‏
HJC Barbosa, AMS Barreto‏
Proceedings of the 3rd Annual Conference on Genetic and Evolutionary …, 2001‏
622001
Temporal abstraction in reinforcement learning with the successor representation‏
MC Machado, A Barreto, D Precup, M Bowling‏
Journal of Machine Learning Research 24 (80), 1-69, 2023‏
572023
Practical kernel-based reinforcement learning‏
AMS Barreto, D Precup, J Pineau‏
Journal of Machine Learning Research 17 (67), 1-70, 2016‏
552016
Reinforcement learning using kernel-based stochastic factorization‏
A Barreto, D Precup, J Pineau‏
Advances in Neural Information Processing Systems 24, 2011‏
522011
Expected eligibility traces‏
H van Hasselt, S Madjiheurem, M Hessel, D Silver, A Barreto, D Borsa‏
Proceedings of the AAAI conference on artificial intelligence 35 (11), 9997 …, 2021‏
512021
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مقالات 1–20