Andre Barreto
Andre Barreto
Research Scientist, Google DeepMind
Email verificata su google.com - Home page
Titolo
Citata da
Citata da
Anno
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, 4055-4065, 2017
2182017
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
1722017
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
582008
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
572001
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
522018
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
462010
Growing compact RBF networks using a genetic algorithm
AMS Barreto, HJC Barbosa, NFF Ebecken
VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings., 61-66, 2002
402002
Reinforcement learning using kernel-based stochastic factorization
A Barreto, D Precup, J Pineau
Advances in Neural Information Processing Systems, 720-728, 2011
332011
GOLS—genetic orthogonal least squares algorithm for training RBF networks
AMS Barreto, HJC Barbosa, NFF Ebecken
Neurocomputing 69 (16-18), 2041-2064, 2006
312006
Graph layout using a genetic algorithm
AMS Barreto, HJC Barbosa
Proceedings. Vol. 1. Sixth Brazilian Symposium on Neural Networks, 179-184, 2000
262000
Practical kernel-based reinforcement learning
AMS Barreto, D Precup, J Pineau
The Journal of Machine Learning Research 17 (1), 2372-2441, 2016
252016
Unicorn: Continual learning with a universal, off-policy agent
DJ Mankowitz, A Žídek, A Barreto, D Horgan, M Hessel, J Quan, J Oh, ...
arXiv preprint arXiv:1802.08294, 2018
232018
Value-aware loss function for model-based reinforcement learning
A Farahmand, A Barreto, D Nikovski
Artificial Intelligence and Statistics, 1486-1494, 2017
222017
A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming
A Sokolov, D Whitley
Genetic Programming and Evolvable Machines 8 (3), 221-237, 2007
202007
Universal successor features approximators
D Borsa, A Barreto, J Quan, D Mankowitz, R Munos, H van Hasselt, ...
arXiv preprint arXiv:1812.07626, 2018
182018
Policy iteration based on stochastic factorization
AMS Barreto, J Pineau, D Precup
Journal of Artificial Intelligence Research 50, 763-803, 2014
152014
Fast deep reinforcement learning using online adjustments from the past
S Hansen, A Pritzel, P Sprechmann, A Barreto, C Blundell
Advances in Neural Information Processing Systems, 10567-10577, 2018
132018
On-line reinforcement learning using incremental kernel-based stochastic factorization
A Barreto, D Precup, J Pineau
Advances in Neural Information Processing Systems, 1484-1492, 2012
132012
Computing the stationary distribution of a finite Markov chain through stochastic factorization
AMS Barreto, MD Fragoso
SIAM Journal on Matrix Analysis and Applications 32 (4), 1513-1523, 2011
132011
Using performance profiles for the analysis and design of benchmark experiments
HJC Barbosa, HS Bernardino, AMS Barreto
Advances in Metaheuristics, 21-36, 2013
122013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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