Hado van Hasselt | Researchain

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Publication

Featured researches published by Hado van Hasselt.

international conference on machine learning | 2016

Dueling network architectures for deep reinforcement learning

Ziyu Wang; Tom Schaul; Matteo Hessel; Hado van Hasselt; Marc Lanctot; Nando de Freitas

national conference on artificial intelligence | 2016

Deep reinforcement learning with double Q-Learning

Hado van Hasselt; Arthur Guez; David Silver

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

national conference on artificial intelligence | 2018

Rainbow: Combining Improvements in Deep Reinforcement Learning

Matteo Hessel; Joseph Modayil; Hado van Hasselt; Tom Schaul; Georg Ostrovski; Will Dabney; Dan Horgan; David Silver

arXiv: Learning | 2017

StarCraft II: A New Challenge for Reinforcement Learning.

Oriol Vinyals; Timo Ewalds; Sergey Bartunov; Petko Georgiev; Alexander Sasha Vezhnevets; Michelle Yeo; Alireza Makhzani; Heinrich Küttler; John Agapiou; Julian Schrittwieser; John Quan; Stephen Gaffney; Stig Petersen; Karen Simonyan; Tom Schaul; Hado van Hasselt; David Silver; Timothy P. Lillicrap; Kevin Calderone; Paul Keet; Anthony Brunasso; David Lawrence; Anders Ekermo; Jacob Repp; Rodney Tsing

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

neural information processing systems | 2016

Learning values across many orders of magnitude

Hado van Hasselt; Arthur Guez; Matteo Hessel; Volodymyr Mnih; David Silver

international conference on learning representations | 2018

Distributed Prioritized Experience Replay

Dan Horgan; John Quan; David Budden; Gabriel Barth-Maron; Matteo Hessel; Hado van Hasselt; David Silver

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

arXiv: Learning | 2018

Observe and Look Further: Achieving Consistent Performance on Atari.

Tobias Pohlen; Todd Hester; Mohammad Gheshlaghi Azar; Dan Horgan; David Budden; Gabriel Barth-Maron; Hado van Hasselt; John Quan; Mel Večerík; Matteo Hessel; Rémi Munos; Olivier Pietquin

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