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Making Sense of Reinforcement Learning and Probabilistic Inference

Feb 14, 2020
Brendan O'Donoghue, Ian Osband, Catalin Ionescu

* ICLR 2020 

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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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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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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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Training Deep Networks with Structured Layers by Matrix Backpropagation

Apr 14, 2016
Catalin Ionescu, Orestis Vantzos, Cristian Sminchisescu

* This is an extended version of our ICCV 2015 article 

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