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Georg Ostrovski

When should agents explore?


Aug 26, 2021
Miruna Pîslar, David Szepesvari, Georg Ostrovski, Diana Borsa, Tom Schaul

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Return-based Scaling: Yet Another Normalisation Trick for Deep RL


May 11, 2021
Tom Schaul, Georg Ostrovski, Iurii Kemaev, Diana Borsa

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On The Effect of Auxiliary Tasks on Representation Dynamics


Feb 25, 2021
Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney

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* AISTATS 2021 
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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

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* ICML 2018 
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Implicit Quantile Networks for Distributional Reinforcement Learning


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

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* 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

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* 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

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* 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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