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Discovering Diverse Nearly Optimal Policies withSuccessor Features


Jun 01, 2021
Tom Zahavy, Brendan O'Donoghue, Andre Barreto, Volodymyr Mnih, Sebastian Flennerhag, Satinder Singh


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Relative Variational Intrinsic Control


Dec 14, 2020
Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih

* Accepted by AAAI2021 

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Q-Learning in enormous action spaces via amortized approximate maximization


Jan 22, 2020
Tom Van de Wiele, David Warde-Farley, Andriy Mnih, Volodymyr Mnih

* A previous version of this work appeared at the Deep Reinforcement Learning Workshop, NeurIPS 2018 

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Unsupervised Learning of Object Keypoints for Perception and Control


Jun 19, 2019
Tejas Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Volodymyr Mnih

* supplementary videos at https://www.youtube.com/playlist?list=PL3LT3tVQRpbvGt5fgp_bKGvW23jF11Vi2 

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Fast Task Inference with Variational Intrinsic Successor Features


Jun 12, 2019
Steven Hansen, Will Dabney, Andre Barreto, Tom Van de Wiele, David Warde-Farley, Volodymyr Mnih


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Unsupervised Control Through Non-Parametric Discriminative Rewards


Nov 28, 2018
David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni, Catalin Ionescu, Steven Hansen, Volodymyr Mnih

* 10 pages + references & 5 page appendix 

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The Uncertainty Bellman Equation and Exploration


Oct 22, 2018
Brendan O'Donoghue, Ian Osband, Remi Munos, Volodymyr Mnih


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Learning by Playing - Solving Sparse Reward Tasks from Scratch


Feb 28, 2018
Martin Riedmiller, Roland Hafner, Thomas Lampe, Michael Neunert, Jonas Degrave, Tom Van de Wiele, Volodymyr Mnih, Nicolas Heess, Jost Tobias Springenberg

* A video of the rich set of learned behaviours can be found at https://youtu.be/mPKyvocNe_M 

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Sample Efficient Actor-Critic with Experience Replay


Jul 10, 2017
Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Remi Munos, Koray Kavukcuoglu, Nando de Freitas

* 20 pages. Prepared for ICLR 2017 

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Combining policy gradient and Q-learning


Apr 07, 2017
Brendan O'Donoghue, Remi Munos, Koray Kavukcuoglu, Volodymyr Mnih


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Using Fast Weights to Attend to the Recent Past


Dec 05, 2016
Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu

* Added [Schmidhuber 1993] citation to the last paragraph of the introduction. Fixed typo appendix A.1 uniform initialization to 1/\sqrt{H} 

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Reinforcement Learning with Unsupervised Auxiliary Tasks


Nov 16, 2016
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z Leibo, David Silver, Koray Kavukcuoglu


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Learning values across many orders of magnitude


Aug 16, 2016
Hado van Hasselt, Arthur Guez, Matteo Hessel, Volodymyr Mnih, David Silver

* Paper accepted for publication at NIPS 2016. This version includes the appendix 

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Asynchronous Methods for Deep Reinforcement Learning


Jun 16, 2016
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu

* ICML 2016 

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Strategic Attentive Writer for Learning Macro-Actions


Jun 15, 2016
Alexander, Vezhnevets, Volodymyr Mnih, John Agapiou, Simon Osindero, Alex Graves, Oriol Vinyals, Koray Kavukcuoglu


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Policy Distillation


Jan 07, 2016
Andrei A. Rusu, Sergio Gomez Colmenarejo, Caglar Gulcehre, Guillaume Desjardins, James Kirkpatrick, Razvan Pascanu, Volodymyr Mnih, Koray Kavukcuoglu, Raia Hadsell

* Submitted to ICLR 2016 

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Massively Parallel Methods for Deep Reinforcement Learning


Jul 16, 2015
Arun Nair, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu, David Silver

* Presented at the Deep Learning Workshop, International Conference on Machine Learning, Lille, France, 2015 

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Multiple Object Recognition with Visual Attention


Apr 23, 2015
Jimmy Ba, Volodymyr Mnih, Koray Kavukcuoglu


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Recurrent Models of Visual Attention


Jun 24, 2014
Volodymyr Mnih, Nicolas Heess, Alex Graves, Koray Kavukcuoglu


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Playing Atari with Deep Reinforcement Learning


Dec 19, 2013
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller

* NIPS Deep Learning Workshop 2013 

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Conditional Restricted Boltzmann Machines for Structured Output Prediction


Feb 14, 2012
Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton


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