Faustino J. Gomez

Tom Schaul

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolving large-scale neural networks for vision-based TORCS.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

2012

Nascence Project: Nanoscale Engineering for Novel Computation Using Evolution.

[BibT_eX]

[DOI]

Int. J. Unconv. Comput., 2012

A Frequency-Domain Encoding for Neuroevolution

[BibT_eX]

[DOI]

CoRR, 2012

T-Learning

[BibT_eX]

[DOI]

CoRR, 2012

Scalable Neuroevolution for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Theory and Practice of Natural Computing, 2012

Generalized Compressed Network Search.

[BibT_eX]

[DOI]

Rupesh Kumar Srivastava

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Compressed Network Complexity Search.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Block Diagonal Natural Evolution Strategies.

[BibT_eX]

[DOI]

Giuseppe Cuccu

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

On the Size of the Online Kernel Sparsification Dictionary.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Complexity search for compressed neural networks.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Modular deep belief networks that do not forget.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Incremental Basis Construction from Temporal Difference Error.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Intrinsically motivated neuroevolution for vision-based reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

When Novelty Is Not Enough.

[BibT_eX]

[DOI]

Giuseppe Cuccu

Proceedings of the Applications of Evolutionary Computation, 2011

Curiosity-driven optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Novelty-based restarts for evolution strategies.

[BibT_eX]

[DOI]

Giuseppe Cuccu

Tobias Glasmachers

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010

Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Evolving neural networks in compressed weight space.

[BibT_eX]

[DOI]

José David Martín-Guerrero

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Ontogenetic and Phylogenetic Reinforcement Learning.

[BibT_eX]

[DOI]

Künstliche Intell., 2009

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients.

[BibT_eX]

[DOI]

Emilio Soria-Olivas

Mónica Climente-Martí

N. Víctor Jiménez-Torres

Expert Syst. Appl., 2009

Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning.

[BibT_eX]

[DOI]

Julian Togelius

Proceedings of the Artificial Neural Networks, 2009

Sustaining diversity using behavioral information distance.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Accelerated Neural Evolution through Cooperatively Coevolved Synapses.

[BibT_eX]

[DOI]

Risto Miikkulainen

J. Mach. Learn. Res., 2008

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

[BibT_eX]

[DOI]

Adv. Robotics, 2008

Countering Poisonous Inputs with Memetic Neuroevolution.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

Learning what to ignore: Memetic climbing in topology and weight space.

[BibT_eX]

[DOI]

Julian Togelius

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Training Recurrent Networks by Evolino.

[BibT_eX]

[DOI]

Neural Comput., 2007

2006

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot.

[BibT_eX]

Proceedings of the Intelligent Autonomous Systems 9, 2006

Evolino for recurrent support vector machines.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Efficient Non-linear Control Through Neuroevolution.

[BibT_eX]

[DOI]

Risto Miikkulainen

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning.

[BibT_eX]

[DOI]

Daan Wierstra

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Evolving Modular Fast-Weight Networks for Control.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Modeling systems with internal state using evolino.

[BibT_eX]

[DOI]

Daan Wierstra