Georg Ostrovski

According to our database, Georg Ostrovski authored at least 22 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

An Analysis of Quantile Temporal-Difference Learning.

Mark Rowland, Rémi Munos, Mohammad Gheshlaghi Azar, Yunhao Tang, Georg Ostrovski, Anna Harutyunyan, Karl Tuyls, Marc G. Bellemare, Will Dabney

CoRR, 2023

Deep Reinforcement Learning with Plasticity Injection.

Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantile Credit Assignment.

Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Rémi Munos

Proceedings of the International Conference on Machine Learning, 2023

2022

An empirical study of implicit regularization in deep offline RL.

Çaglar Gülçehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet

Trans. Mach. Learn. Res., 2022

The Phenomenon of Policy Churn.

Tom Schaul, André Barreto, John Quan, Georg Ostrovski

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When should agents explore?

Miruna Pislar, David Szepesvari, Georg Ostrovski, Diana L. Borsa, Tom Schaul

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Tom Schaul, Georg Ostrovski, Iurii Kemaev, Diana Borsa

CoRR, 2021

The Difficulty of Passive Learning in Deep Reinforcement Learning.

Georg Ostrovski, Pablo Samuel Castro, Will Dabney

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Temporally-Extended ε-Greedy Exploration.

Will Dabney, Georg Ostrovski, André Barreto

Proceedings of the 9th International Conference on Learning Representations, 2021

On the Effect of Auxiliary Tasks on Representation Dynamics.

Clare Lyle, Mark Rowland, Georg Ostrovski, Will Dabney

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Adapting Behaviour for Learning Progress.

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

CoRR, 2019

Recurrent Experience Replay in Distributed Reinforcement Learning.

Steven Kapturowski, Georg Ostrovski, John Quan, Rémi Munos, Will Dabney

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Autoregressive Quantile Networks for Generative Modeling.

Georg Ostrovski, Will Dabney, Rémi Munos

Proceedings of the 35th International Conference on Machine Learning, 2018

Implicit Quantile Networks for Distributional Reinforcement Learning.

Will Dabney, Georg Ostrovski, David Silver, Rémi Munos

Proceedings of the 35th International Conference on Machine Learning, 2018

Rainbow: Combining Improvements in Deep Reinforcement Learning.

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Symmetric Decomposition of Asymmetric Games.

Karl Tuyls, Julien Pérolat, Marc Lanctot, Georg Ostrovski, Rahul Savani, Joel Z. Leibo, Toby Ord, Thore Graepel, Shane Legg

CoRR, 2017

Count-Based Exploration with Neural Density Models.

Georg Ostrovski, Marc G. Bellemare, Aäron van den Oord, Rémi Munos

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Hybrid computing using a neural network with dynamic external memory.

Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwinska, Sergio Gomez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John P. Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis

Nat., 2016

Unifying Count-Based Exploration and Intrinsic Motivation.

Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, Rémi Munos

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Increasing the Action Gap: New Operators for Reinforcement Learning.

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

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Human-level control through deep reinforcement learning.

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin A. Riedmiller, Andreas Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis

Nat., 2015

2013

Payoff Performance of Fictitious Play.

Georg Ostrovski, Sebastian van Strien

CoRR, 2013