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Causally Correct Partial Models for Reinforcement Learning

Feb 07, 2020
Danilo J. Rezende, Ivo Danihelka, George Papamakarios, Nan Rosemary Ke, Ray Jiang, Theophane Weber, Karol Gregor, Hamza Merzic, Fabio Viola, Jane Wang, Jovana Mitrovic, Frederic Besse, Ioannis Antonoglou, Lars Buesing

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OpenSpiel: A Framework for Reinforcement Learning in Games

Oct 10, 2019
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinicius Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis

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The Cramer Distance as a Solution to Biased Wasserstein Gradients

May 30, 2017
Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos

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Comparison of Maximum Likelihood and GAN-based training of Real NVPs

May 15, 2017
Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria, Daan Wierstra, Peter Dayan

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Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes

Oct 27, 2016
Jack W Rae, Jonathan J Hunt, Tim Harley, Ivo Danihelka, Andrew Senior, Greg Wayne, Alex Graves, Timothy P Lillicrap

* in 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain 

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Video Pixel Networks

Oct 03, 2016
Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

* 16 pages 

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Memory-Efficient Backpropagation Through Time

Jun 10, 2016
Audrūnas Gruslys, Remi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves

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One-Shot Generalization in Deep Generative Models

May 25, 2016
Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra

* 8pgs, 1pg references, 1pg appendix, In Proceedings of the 33rd International Conference on Machine Learning, JMLR: W&CP volume 48, 2016 

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Associative Long Short-Term Memory

May 19, 2016
Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves

* ICML-2016 

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Towards Conceptual Compression

Apr 29, 2016
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra

* 14 pages, 13 figures 

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Grid Long Short-Term Memory

Jan 07, 2016
Nal Kalchbrenner, Ivo Danihelka, Alex Graves

* 15 pages 

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DRAW: A Recurrent Neural Network For Image Generation

May 20, 2015
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra

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Neural Turing Machines

Dec 10, 2014
Alex Graves, Greg Wayne, Ivo Danihelka

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Deep AutoRegressive Networks

May 20, 2014
Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra

* Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra. Deep AutoRegressive Networks. In Proceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W&CP volume 32, 2014 
* Appears in Proceedings of the 31st International Conference on Machine Learning (ICML), Beijing, China, 2014 

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Optimistic Simulated Exploration as an Incentive for Real Exploration

May 20, 2009
Ivo Danihelka

* POSTER 2009 
* accepted, noted that the initial path was 217 steps long 

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