Wierstra, Daan

23 publications

NeurIPS 2019 Towards Interpretable Reinforcement Learning Using Attention Augmented Agents Alexander Mott, Daniel Zoran, Mike Chrzanowski, Daan Wierstra, Danilo Jimenez Rezende

ICML 2018 Learning to Search with MCTSnets Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Remi Munos, David Silver

NeurIPS 2018 Relational Recurrent Neural Networks Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy Lillicrap

NeurIPS 2017 Imagination-Augmented Agents for Deep Reinforcement Learning Sébastien Racanière, Theophane Weber, David Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adrià Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Silver, Daan Wierstra

ICML 2017 Neural Episodic Control Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell

ICLR 2017 Recurrent Environment Simulators Silvia Chiappa, Sébastien Racanière, Daan Wierstra, Shakir Mohamed

ICLR 2017 Variational Intrinsic Control Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra

ICLR 2016 Continuous Control with Deep Reinforcement Learning Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra

NeurIPS 2016 Matching Networks for One Shot Learning Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Koray Kavukcuoglu, Daan Wierstra

ICML 2016 Meta-Learning with Memory-Augmented Neural Networks Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, Timothy Lillicrap

ICML 2016 One-Shot Generalization in Deep Generative Models Danilo Rezende, Shakir, Ivo Danihelka, Karol Gregor, Daan Wierstra

NeurIPS 2016 Towards Conceptual Compression Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra

ICML 2015 DRAW: A Recurrent Neural Network for Image Generation Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende, Daan Wierstra

ICML 2015 Weight Uncertainty in Neural Network Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra

ICML 2014 Deep AutoRegressive Networks Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra

ICML 2014 Deterministic Policy Gradient Algorithms David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller

JMLR 2014 Natural Evolution Strategies Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, Jürgen Schmidhuber

ICML 2014 Stochastic Backpropagation and Approximate Inference in Deep Generative Models Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra

NeurIPS 2011 Variational Learning for Recurrent Spiking Networks Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner

JMLR 2010 PyBrain Tom Schaul, Justin Bayer, Daan Wierstra, Yi Sun, Martin Felder, Frank Sehnke, Thomas Rückstieß, Jürgen Schmidhuber

ICML 2009 Stochastic Search Using the Natural Gradient Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber

IJCAI 2005 Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning Jürgen Schmidhuber, Daan Wierstra, Faustino J. Gomez

ICML 2004 Utile Distinction Hidden Markov Models Daan Wierstra, Marco A. Wiering