Daan Wierstra

According to our database1, Daan Wierstra authored at least 66 papers between 2004 and 2018.

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Bibliography

2018
Relational recurrent neural networks.
CoRR, 2018

Relational inductive biases, deep learning, and graph networks.
CoRR, 2018

Learning to Search with MCTSnets.
CoRR, 2018

Learning and Querying Fast Generative Models for Reinforcement Learning.
CoRR, 2018

Learning to Search with MCTSnets.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017.
CoRR, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.
CoRR, 2017

Neural Episodic Control.
CoRR, 2017

Learning model-based planning from scratch.
CoRR, 2017

PathNet: Evolution Channels Gradient Descent in Super Neural Networks.
CoRR, 2017

Comparison of Maximum Likelihood and GAN-based training of Real NVPs.
CoRR, 2017

Recurrent Environment Simulators.
CoRR, 2017

Imagination-Augmented Agents for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Neural Episodic Control.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Matching Networks for One Shot Learning.
CoRR, 2016

One-shot Learning with Memory-Augmented Neural Networks.
CoRR, 2016

One-Shot Generalization in Deep Generative Models.
CoRR, 2016

Variational Intrinsic Control.
CoRR, 2016

Towards Conceptual Compression.
CoRR, 2016

Convolution by Evolution: Differentiable Pattern Producing Networks.
CoRR, 2016

Model-Free Episodic Control.
CoRR, 2016

Matching Networks for One Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Towards Conceptual Compression.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Meta-Learning with Memory-Augmented Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

One-Shot Generalization in Deep Generative Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Convolution by Evolution: Differentiable Pattern Producing Networks.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Human-level control through deep reinforcement learning.
Nature, 2015

Continuous control with deep reinforcement learning.
CoRR, 2015

DRAW: A Recurrent Neural Network For Image Generation.
CoRR, 2015

Weight Uncertainty in Neural Networks.
CoRR, 2015

DRAW: A Recurrent Neural Network For Image Generation.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Weight Uncertainty in Neural Network.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Natural evolution strategies.
Journal of Machine Learning Research, 2014

Stochastic Back-propagation and Variational Inference in Deep Latent Gaussian Models.
CoRR, 2014

Deterministic Policy Gradient Algorithms.
Proceedings of the 31th International Conference on Machine Learning, 2014

Stochastic Backpropagation and Approximate Inference in Deep Generative Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Deep AutoRegressive Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Playing Atari with Deep Reinforcement Learning.
CoRR, 2013

Deep AutoRegressive Networks.
CoRR, 2013

2012
Efficient Natural Evolution Strategies
CoRR, 2012

2011
Natural Evolution Strategies
CoRR, 2011

Variational Learning for Recurrent Spiking Networks.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Curiosity-driven optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A study in direct policy search.
PhD thesis, 2010

Exploring parameter space in reinforcement learning.
Paladyn, 2010

PyBrain.
Journal of Machine Learning Research, 2010

Recurrent policy gradients.
Logic Journal of the IGPL, 2010

Exponential natural evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Ontogenetic and Phylogenetic Reinforcement Learning.
KI, 2009

Stochastic search using the natural gradient.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Evolving Memory Cell Structures for Sequence Learning.
Proceedings of the Artificial Neural Networks, 2009

Efficient natural evolution strategies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Robust player imitation using multiobjective evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.
Advanced Robotics, 2008

Fitness Expectation Maximization.
Proceedings of the Parallel Problem Solving from Nature, 2008

Episodic Reinforcement Learning by Logistic Reward-Weighted Regression.
Proceedings of the Artificial Neural Networks, 2008

Natural Evolution Strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Training Recurrent Networks by Evolino.
Neural Computation, 2007

Solving Deep Memory POMDPs with Recurrent Policy Gradients.
Proceedings of the Artificial Neural Networks, 2007

Policy Gradient Critics.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Evolino for recurrent support vector machines.
Proceedings of the ESANN 2006, 2006

2005
Evolino for recurrent support vector machines
CoRR, 2005

Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Modeling systems with internal state using evolino.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Utile distinction hidden Markov models.
Proceedings of the Machine Learning, 2004


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