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Georg Ostrovski
Temporally-Extended ε-Greedy Exploration

Jun 02, 2020
Will Dabney, Georg Ostrovski, André Barreto


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Adapting Behaviour for Learning Progress

Dec 14, 2019
Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero


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Autoregressive Quantile Networks for Generative Modeling

Jun 14, 2018
Georg Ostrovski, Will Dabney, Rémi Munos

* ICML 2018 
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Implicit Quantile Networks for Distributional Reinforcement Learning

Jun 14, 2018
Will Dabney, Georg Ostrovski, David Silver, Rémi Munos

* ICML 2018 
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Rainbow: Combining Improvements in Deep Reinforcement Learning

Oct 06, 2017
Matteo Hessel, Joseph Modayil, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Azar, David Silver

* Under review as a conference paper at AAAI 2018 
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Count-Based Exploration with Neural Density Models

Jun 14, 2017
Georg Ostrovski, Marc G. Bellemare, Aaron van den Oord, Remi Munos


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Unifying Count-Based Exploration and Intrinsic Motivation

Nov 07, 2016
Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, Remi Munos


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Increasing the Action Gap: New Operators for Reinforcement Learning

Dec 15, 2015
Marc G. Bellemare, Georg Ostrovski, Arthur Guez, Philip S. Thomas, Rémi Munos

* Bellemare, Marc G., Ostrovski, G., Guez, A., Thomas, Philip S., and Munos, Remi. Increasing the Action Gap: New Operators for Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 2016 
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