Ivo Danihelka - RankMe

28 papers A* 9Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Learning by Directional Gradient Descent. ICLR David Silver, Anirudh Goyal, Ivo Danihelka, Matteo Hessel, Hado van Hasselt
2022	A*	`conf`	Policy improvement by planning with Gumbel. ICLR Ivo Danihelka, Arthur Guez, Julian Schrittwieser, David Silver
2021	A*	`conf`	Muesli: Combining Improvements in Policy Optimization. ICML Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt
2021	J	`jnl`	Muesli: Combining Improvements in Policy Optimization. CoRR Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado van Hasselt
2020	J	`jnl`	Causally Correct Partial Models for Reinforcement Learning. CoRR 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
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
2019	J	`jnl`	OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores 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 W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis
2017	J	`jnl`	Comparison of Maximum Likelihood and GAN-based training of Real NVPs. CoRR Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria, Daan Wierstra, Peter Dayan
2017	J	`jnl`	The Cramer Distance as a Solution to Biased Wasserstein Gradients. CoRR Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos
2017	A*	`conf`	Video Pixel Networks. ICML Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2016	A*	`conf`	Associative Long Short-Term Memory. ICML Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves
2016	J	`jnl`	Associative Long Short-Term Memory. CoRR Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves
2016	A*	`conf`	Grid Long Short-Term Memory. ICLR (Poster) Nal Kalchbrenner, Ivo Danihelka, Alex Graves
2016	J	`jnl`	Hybrid computing using a neural network with dynamic external memory. Nat. 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
2016	—	`conf`	Memory-Efficient Backpropagation Through Time. NIPS Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves
2016	J	`jnl`	Memory-Efficient Backpropagation Through Time. CoRR Audrunas Gruslys, Rémi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves
2016	A*	`conf`	One-Shot Generalization in Deep Generative Models. ICML Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra
2016	J	`jnl`	One-Shot Generalization in Deep Generative Models. CoRR Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra
2016	—	`conf`	Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. NIPS Jack W. Rae, Jonathan J. Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Tim Lillicrap
2016	J	`jnl`	Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. CoRR Jack W. Rae, Jonathan J. Hunt, Tim Harley, Ivo Danihelka, Andrew W. Senior, Greg Wayne, Alex Graves, Timothy P. Lillicrap
2016	—	`conf`	Towards Conceptual Compression. NIPS Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
2016	J	`jnl`	Towards Conceptual Compression. CoRR Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra
2016	J	`jnl`	Video Pixel Networks. CoRR Nal Kalchbrenner, Aäron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
2015	A*	`conf`	DRAW: A Recurrent Neural Network For Image Generation. ICML Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra
2015	J	`jnl`	DRAW: A Recurrent Neural Network For Image Generation. CoRR Karol Gregor, Ivo Danihelka, Alex Graves, Daan Wierstra
2014	A*	`conf`	Deep AutoRegressive Networks. ICML Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra
2014	J	`jnl`	Neural Turing Machines. CoRR Alex Graves, Greg Wayne, Ivo Danihelka
2009	J	`jnl`	Optimistic Simulated Exploration as an Incentive for Real Exploration CoRR Ivo Danihelka