DW
Daan Wierstra
cs.LGstat.MLcs.AIcs.NEcs.CVArtificial Intelligencecs.RONeural Networks, Computercs.HCLearning
On Valency
published · living versionsW_45caf8hg·v1 · currentpublished
Model-Free Episodic Control
with Charles Blundell, Benigno Uria, Alexander Pritzel, Yazhe Li +4
1 version
W_hacnwnyg·v1published
W_dq4s63wz·v1published
W_k98pvudy·v1published
W_849y4y56·v1published
Preprints & journals
33 papers in the corpus · 2007–2025SIMA 2: A Generalist Embodied Agent for Virtual Worlds2512.04797v1 · SIMA team: Adrian Bolton, Alexander Lerchner, Alexandra Cordell et al.2025 · 0 citationsarXiv
Scaling Instructable Agents Across Many Simulated Worlds2404.10179v3 · SIMA Team, Maria Abi Raad, Arun Ahuja et al.2024 · 9 citationsarXiv
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents1906.02500v1 · Alex Mott, Daniel Zoran, Mike Chrzanowski et al.2019 · 78 citationsarXiv
Neural scene representation and rendering.29903970 · Eslami, S M Ali, Jimenez Rezende, Danilo, Besse, Frederic et al.2018 · 497 citationsScience (New York, N.Y.). 2018;360(6394):1204-1210
Relational recurrent neural networks1806.01822v2 · Adam Santoro, Ryan Faulkner, David Raposo et al.2018 · 153 citationsarXiv
Relational inductive biases, deep learning, and graph networks1806.01261v3 · Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst et al.2018 · 2,241 citationsarXiv
Learning to Search with MCTSnets1802.04697v2 · Arthur Guez, Th'eophane Weber, Ioannis Antonoglou et al.2018 · 41 citationsarXiv
Learning and Querying Fast Generative Models for Reinforcement Learning1802.03006v1 · Lars Buesing, Theophane Weber, Sebastien Racaniere et al.2018 · 69 citationsarXiv
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 20171711.08378v1 · M. Botvinick, D.G.T. Barrett, P. Battaglia et al.2017 · 5 citationsarXiv
Learning model-based planning from scratch1707.06170v1 · Razvan Pascanu, Yujia Li, Oriol Vinyals et al.2017 · 72 citationsarXiv
Imagination-Augmented Agents for Deep Reinforcement Learning1707.06203v2 · Th'eophane Weber, S'ebastien Racaniere, David P. Reichert et al.2017 · 351 citationsarXiv
Comparison of Maximum Likelihood and GAN-based training of Real NVPs1705.05263v1 · Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria et al.2017 · 39 citationsarXiv
Recurrent Environment Simulators1704.02254v2 · Silvia Chiappa, S'ebastien Racaniere, Daan Wierstra et al.2017 · 112 citationsarXiv
Neural Episodic Control1703.01988v1 · Alexander Pritzel, Benigno Uria, Sriram Srinivasan et al.2017 · 213 citationsarXiv
PathNet: Evolution Channels Gradient Descent in Super Neural Networks1701.08734v1 · Chrisantha Fernando, Dylan Banarse, Charles Blundell et al.2017 · 619 citationsarXiv
Building machines that learn and think for themselves.29342685 · Botvinick, Matthew, Barrett, David G T, Battaglia, Peter et al.2019 · 54 citationsThe Behavioral and brain sciences. 2017;40:e255
Variational Intrinsic Control1611.07507v1 · Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra2016 · 213 citationsarXiv
Model-Free Episodic Control1606.04460v1 · Charles Blundell, Benigno Uria, Alexander Pritzel et al.2016 · 162 citationsarXivon Valency
Matching Networks for One Shot Learning1606.04080v2 · Oriol Vinyals, Charles Blundell, Timothy Lillicrap et al.2016 · 4,729 citationsarXivon Valency
Convolution by Evolution: Differentiable Pattern Producing Networks1606.02580v1 · Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds et al.2016 · 26 citationsarXiv
One-shot Learning with Memory-Augmented Neural Networks1605.06065v1 · Adam Santoro, Sergey Bartunov, Matthew Botvinick et al.2016 · 384 citationsarXiv
Towards Conceptual Compression1604.08772v1 · Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.2016 · 120 citationsarXiv
One-Shot Generalization in Deep Generative Models1603.05106v2 · Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka et al.2016 · 114 citationsarXiv
Continuous control with deep reinforcement learning1509.02971v6 · Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al.2015 · 10,782 citationsarXiv
Weight Uncertainty in Neural Networks1505.05424v2 · Charles Blundell, Julien Cornebise, Koray Kavukcuoglu et al.2015 · 1,339 citationsarXivon Valency
Human-level control through deep reinforcement learning.25719670 · Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David et al.2015 · 30,223 citationsNature. 2015;518(7540):529-33
DRAW: A Recurrent Neural Network For Image Generation1502.04623v2 · Karol Gregor, Ivo Danihelka, Alex Graves et al.2015 · 1,482 citationsarXivon Valency
Stochastic Backpropagation and Approximate Inference in Deep Generative Models1401.4082v3 · Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra2014 · 3,385 citationsarXiv
Playing Atari with Deep Reinforcement Learning1312.5602v1 · Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al.2013 · 9,472 citationsarXivon Valency
Deep AutoRegressive Networks1310.8499v2 · Karol Gregor, Ivo Danihelka, Andriy Mnih et al.2013 · 151 citationsKarol 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
Efficient Natural Evolution Strategies1209.5853v1 · Yi Sun, Daan Wierstra, Tom Schaul et al.2012 · 87 citationsarXiv
Natural Evolution Strategies1106.4487v1 · Daan Wierstra, Tom Schaul, Tobias Glasmachers et al.2011 · 257 citationsarXiv
Training recurrent networks by Evolino.17298232 · Schmidhuber, Jürgen, Wierstra, Daan, Gagliolo, Matteo et al.2007 · 248 citationsNeural computation. 2007;19(3):757-79
Career total: 74 works. 33 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.