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Dive into the research topics where André da Motta Salles Barreto is active.

Publication


Featured researches published by André da Motta Salles Barreto.


neural information processing systems | 2009

Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining

George Konidaris; André da Motta Salles Barreto


neural information processing systems | 2008

Skill Characterization Based on Betweenness

Özgür Şimşek; André da Motta Salles Barreto


neural information processing systems | 2010

Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories

George Konidaris; Scott Kuindersma; Roderic A. Grupen; André da Motta Salles Barreto


international conference on machine learning | 2017

The Predictron: End-To-End Learning and Planning

David Silver; Hado van Hasselt; Matteo Hessel; Tom Schaul; Arthur Guez; Tim Harley; Gabriel Dulac-Arnold; David P. Reichert; Neil C. Rabinowitz; André da Motta Salles Barreto; Thomas Degris


neural information processing systems | 2017

Successor Features for Transfer in Reinforcement Learning

André da Motta Salles Barreto; Will Dabney; Rémi Munos; Jonathan J. Hunt; Tom Schaul; Hado van Hasselt; David Silver


international conference on artificial intelligence | 2015

An expectation-maximization algorithm to compute a stochastic factorization from data

André da Motta Salles Barreto; Rafael L. Beirigo; Joelle Pineau; Doina Precup


arXiv: Learning | 2018

Unicorn: Continual Learning with a Universal, Off-policy Agent.

Daniel J. Mankowitz; Augustin Zidek; André da Motta Salles Barreto; Dan Horgan; Matteo Hessel; John Quan; Junhyuk Oh; Hado van Hasselt; David Silver; Tom Schaul


international conference on artificial intelligence and statistics | 2017

Value-Aware Loss Function for Model-based Reinforcement Learning

Amir Massoud Farahmand; André da Motta Salles Barreto; Daniel Nikovski


national conference on artificial intelligence | 2016

Incremental stochastic factorization for online reinforcement learning

André da Motta Salles Barreto; Rafael L. Beirigo; Joelle Pineau; Doina Precup


arXiv: Learning | 2014

Classification-based Approximate Policy Iteration: Experiments and Extended Discussions.

Amir Massoud Farahmand; Doina Precup; André da Motta Salles Barreto; Mohammad Ghavamzadeh

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Daniel J. Mankowitz

Technion – Israel Institute of Technology

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