About
Discord Stateoftheart AI
GitHub

Publications

68

Cited by

985

Andre Barreto

artificial intelligencemachine learningreinforcement learningdynamic programming
Google

United States

Papers and Citations

1 - 50
Successor features for transfer in reinforcement learning
2017
David Silver
Rémi Munos
Will Dabney
+4
Cited by 201
The predictron: End-to-end learning and planning
2017
Neil Rabinowitz
Hado van Hasselt
Andre Barreto
+8
Cited by 200
Transfer in deep reinforcement learning using successor features and generalised policy improvement
2018
Rémi Munos
Matteo Hessel
Andre Barreto
+6
Cited by 64
An interactive genetic algorithm with co-evolution of weights for multiobjective problems
2001
Helio Jos� Corr�a Barbosa
Andre Barreto
Cited by 56
Using performance profiles to analyze the results of the 2006 CEC constrained optimization competition
2010
Heder Soares Bernardino
Andre Barreto
Helio Jos� Corr�a Barbosa
Cited by 46
Growing compact RBF networks using a genetic algorithm
2002
NFF Ebecken
Helio Jos� Corr�a Barbosa
Andre Barreto
Cited by 40
Reinforcement learning using kernel-based stochastic factorization
2011
Doina Precup
Andre Barreto
Joelle Pineau
Cited by 33
GOLS—genetic orthogonal least squares algorithm for training RBF networks
2006
Helio Jos� Corr�a Barbosa
Andre Barreto
Nelson F. F. Ebecken
Cited by 31
Unicorn: Continual learning with a universal, off-policy agent
2018
David Silver
Dan Horgan
Daniel J. Mankowitz
+7
Cited by 29
Graph layout using a genetic algorithm
2000
Andre Barreto
Helio Jos� Corr�a Barbosa
Cited by 26
Practical kernel-based reinforcement learning
2016
Joelle Pineau
Andre Barreto
Doina Precup
Cited by 25
Value-aware loss function for model-based reinforcement learning
2017
Daniel Nikovski
Andre Barreto
Amir-massoud Farahmand
Cited by 22
Fast task inference with variational intrinsic successor features
2019
Tom Van de Wiele
T Van de Wiele
Steven Hansen
+4
Cited by 21
Fast deep reinforcement learning using online adjustments from the past
2018
Charles Blundell
Pablo Sprechmann
Andre Barreto
+2
Cited by 20
Policy iteration based on stochastic factorization
2014
Andre Barreto
Doina Precup
Joelle Pineau
Cited by 16
Universal successor features approximators
2018
John Quan
Rémi Munos
Andre Barreto
+5
Cited by 16
Computing the stationary distribution of a finite Markov chain through stochastic factorization
2011
Marcelo Fragoso
Andre Barreto
Cited by 13
On-line reinforcement learning using incremental kernel-based stochastic factorization
2012
Doina Precup
Andre Barreto
Joelle Pineau
Cited by 13
Using performance profiles for the analysis and design of benchmark experiments
2013
Andre Barreto
Heder Soares Bernardino
Helio Jos� Corr�a Barbosa
Cited by 12
Classification-based approximate policy iteration
2015
Doina Precup
Amir-massoud Farahmand
Andre Barreto
+1
Cited by 11
Analysis of composition-based metagenomic classification
2012
ATR de Vasconcelos
S Higashi
Andre Barreto
+1
Cited by 10
Probabilistic performance profiles for the experimental evaluation of stochastic algorithms
2010
HJC Barbosa
Andre Barreto
Heder Soares Bernardino
Cited by 10
Natural value approximators: Learning when to trust past estimates
2017
Hado P van Hasselt
Zhongwen Xu
Z Xu
+5
Cited by 8
On the characteristics of sequential decision problems and their impact on Evolutionary Computation and Reinforcement learning
2009
DA Augusto
Andre Barreto
Helio Jos� Corr�a Barbosa
Cited by 7
Graph-based skill acquisition for reinforcement learning
2019
Andre Barreto
Artur Ziviani
MRF Mendonca
Cited by 7
The option keyboard: Combining skills in reinforcement learning
2019
Shibl Mourad
Daniel Toyama
Shaobo Hou
+8
Cited by 7
Temporal difference learning with neural networks-study of the leakage propagation problem
2018
Damien Vincent
D Vincent
Hartmut Maennel
+4
Cited by 6
Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction.
2018
Jonathan J Hunt
Nicolas Heess
Andre Barreto
+1
Cited by 5
Composing entropic policies using divergence correction
2019
N Heess
Timothy P. Lillicrap
Andre Barreto
+1
Cited by 5
Evolving numerical constants in grammatical evolution with the ephemeral constant method
2011
DA Augusto
Helio Jos� Corr�a Barbosa
Heder Soares Bernardino
+1
Cited by 5
General non-linear bellman equations
2019
John Quan
Zhongwen Xu
Z Xu
+5
Cited by 5
Tree-based on-line reinforcement learning
2014
Andre Barreto
Cited by 4
Count-based quadratic control of markov jump linear systems with unknown transition probabilities
2017
RL Beirigo
Marcos Todorov
Andre Barreto
Cited by 4
Online TD (A) for discrete-time Markov jump linear systems
2018
RL Beirigo
Marcos Todorov
Andre Barreto
Cited by 4
Value-aware loss function for model learning in reinforcement learning
2016
Daniel Nikovski
Amir-massoud Farahmand
Andre Barreto
Cited by 4
Reinforcement learning competition: Helicopter hovering with controllability and kernel-based stochastic factorization
2013
A Asbah
Doina Precup
Joelle Pineau
+2
Cited by 4
On Efficiency in Hierarchical Reinforcement Learning
2020
Zheng Wen
Andre Barreto
Morteza Ibrahimi
+1
Cited by 3
Abstract state transition graphs for model-based reinforcement learning
2018
André da Motta Salles Barreto
Matheus Ribeiro Furtado de Mendonça
MRF de Mendonça
+2
Cited by 3
Classification-based approximate policy iteration: Experiments and extended discussions
2014
Amir-massoud Farahmand
Andre Barreto
Doina Precup
+1
Cited by 3
CAPI: Generalized classification-based approximate policy iteration
2013
Doina Precup
Mohammad Ghavamzadeh
Andre Barreto
+1
Cited by 3
Knowledge representation for reinforcement learning using general value functions
2018
Shaobo Hou
Daniel Kenji Toyama
Shibl Mourad
+6
Cited by 3
Discovering a set of policies for the worst case reward
2021
S Hou
Daniel J. Mankowitz
Andre Barreto
+1
Cited by 2
The Value Equivalence Principle for Model-Based Reinforcement Learning
2020
C Grimm
S Singh
Andre Barreto
+1
Cited by 2
Lumping the states of a finite Markov chain through stochastic factorization
2011
Andre Barreto
Marcelo Fragoso
Cited by 2
Transfer on count-based quadratic control of markov jump linear systems with unknown transition probabilities
2017
RL Beirigo
Marcos Todorov
Andre Barreto
Cited by 2
Incremental Stochastic Factorization for Online Reinforcement Learning.
2016
RL Beirigo
Andre Barreto
Doina Precup
+1
Cited by 2
Fast reinforcement learning with generalized policy updates
2020
S Hou
David Silver
Diana Borsa
+2
Cited by 2
Expected eligibility traces
2020
Diana Borsa
Madjiheurem Sephora
Matteo Hessel
+3
Cited by 2
Disentangled Cumulants Help Successor Representations Transfer to New Tasks
2019
Christopher Grimm
Satinder Singh
Denis Teplyashin
+5
Cited by 1
On the characteristics of sequential decision problems and their impact on evolutionary computation
2009
DA Augusto
Andre Barreto
Helio Jos� Corr�a Barbosa
Cited by 1