André da Motta Salles Barreto

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 9

Top Topics

State Transition

Keynote Speakers

Policy Iteration

Top Venues

Publications

Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
Efficient information diffusion in time-varying graphs through deep reinforcement learning. World Wide Web 25 (6) (2022)
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
Approximating Network Centrality Measures Using Node Embedding and Machine Learning. CoRR (2020)
Matheus R. F. Mendonça, André da Motta Salles Barreto, Artur Ziviani
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning. CoRR (2020)
Matheus R. F. Mendonça, Artur Ziviani, André da Motta Salles Barreto
Graph-Based Skill Acquisition For Reinforcement Learning. ACM Comput. Surv. 52 (1) (2019)
Matheus Ribeiro Furtado de Mendonca, Artur Ziviani, André da Motta Salles Barreto
Abstract State Transition Graphs for Model-Based Reinforcement Learning. BRACIS (2018)
Rafael L. Beirigo, Marcos Garcia Todorov, André da Motta Salles Barreto
Online TD(A) for discrete-time Markov jump linear systems. CDC (2018)
Rafael L. Beirigo, Marcos G. Todorov, André da Motta Salles Barreto
Count-based quadratic control of Markov jump linear systems with unknown transition probabilities. CDC (2017)
André da Motta Salles Barreto, Doina Precup, Joelle Pineau
Practical Kernel-Based Reinforcement Learning. J. Mach. Learn. Res. 17 (2016)
André da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup
Incremental Stochastic Factorization for Online Reinforcement Learning. AAAI (2016)
Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36 (1) (2015)
Amir-massoud Farahmand, Doina Precup, André da Motta Salles Barreto, Mohammad Ghavamzadeh
Classification-Based Approximate Policy Iteration. IEEE Trans. Autom. Control. 60 (11) (2015)
André da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup
An Expectation-Maximization Algorithm to Compute a Stochastic Factorization From Data. IJCAI (2015)
Amir-massoud Farahmand, Doina Precup, André da Motta Salles Barreto, Mohammad Ghavamzadeh
Classification-based Approximate Policy Iteration: Experiments and Extended Discussions. CoRR (2014)
André da Motta Salles Barreto, Joelle Pineau, Doina Precup
Policy Iteration Based on Stochastic Factorization. J. Artif. Intell. Res. 50 (2014)
André da Motta Salles Barreto
Tree-Based On-Line Reinforcement Learning. AAAI (2014)
André da Motta Salles Barreto, Doina Precup, Joelle Pineau
Practical Kernel-Based Reinforcement Learning. CoRR (2014)
André da Motta Salles Barreto, Doina Precup, Joelle Pineau
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization. NIPS (2012)
André da Motta Salles Barreto, Marcelo D. Fragoso
Computing the Stationary Distribution of a Finite Markov Chain Through Stochastic Factorization. SIAM J. Matrix Anal. Appl. 32 (4) (2011)
André da Motta Salles Barreto, Doina Precup, Joelle Pineau
Reinforcement Learning using Kernel-Based Stochastic Factorization. NIPS (2011)
Douglas Adriano Augusto, Helio J. C. Barbosa, André da Motta Salles Barreto, Heder S. Bernardino
Evolving Numerical Constants in Grammatical Evolution with the Ephemeral Constant Method. EPIA (2011)
Douglas Adriano Augusto, Helio J. C. Barbosa, André da Motta Salles Barreto, Heder S. Bernardino
A new approach for generating numerical constants in grammatical evolution. GECCO (Companion) (2011)
Helio J. C. Barbosa, Heder S. Bernardino, André da Motta Salles Barreto
Using performance profiles to analyze the results of the 2006 CEC constrained optimization competition. IEEE Congress on Evolutionary Computation (2010)
André da Motta Salles Barreto, Heder S. Bernardino, Helio J. C. Barbosa
Probabilistic performance profiles for the experimental evaluation of stochastic algorithms. GECCO (2010)
André da Motta Salles Barreto, Douglas Adriano Augusto, Helio J. C. Barbosa
On the Characteristics of Sequential Decision Problems and Their Impact on Evolutionary Computation and Reinforcement Learning. Artificial Evolution (2009)
André da Motta Salles Barreto, Douglas Adriano Augusto, Helio J. C. Barbosa
On the characteristics of sequential decision problems and their impact on evolutionary computation. GECCO (2009)
André da Motta Salles Barreto, Charles W. Anderson
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning. Artif. Intell. 172 (4-5) (2008)
Artem Sokolov, L. Darrell Whitley, André da Motta Salles Barreto
A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming. Genet. Program. Evolvable Mach. 8 (3) (2007)
L. Darrell Whitley, Marc D. Richards, J. Ross Beveridge, André da Motta Salles Barreto
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP. GECCO (2006)
André da Motta Salles Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken
GOLS - Genetic orthogonal least squares algorithm for training RBF networks. Neurocomputing 69 (16-18) (2006)
André da Motta Salles Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken
Growing Compact RBF Networks Using a Genetic Algorithm. SBRN (2002)
André da Motta Salles Barreto, Helio J. C. Barbosa
Graph Layout Using a Genetic Algorithm. SBRN (2000)