 | 2012 |
| 33 |  | Vincent Graziano,
Faustino J. Gomez,
Mark B. Ring,
Jürgen Schmidhuber:
T-Learning
CoRR abs/1201.0292: (2012) |
| 2011 |
| 32 |  | Yi Sun,
Faustino J. Gomez,
Jürgen Schmidhuber:
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments.
AGI 2011: 41-51 |
| 31 |  | Giuseppe Cuccu,
Faustino J. Gomez:
When Novelty Is Not Enough.
EvoApplications (1) 2011: 234-243 |
| 30 |  | Yi Sun,
Faustino J. Gomez,
Mark B. Ring,
Jürgen Schmidhuber:
Incremental Basis Construction from Temporal Difference Error.
ICML 2011: 481-488 |
| 29 |  | Tom Schaul,
Yi Sun,
Daan Wierstra,
Faustino J. Gomez,
Jürgen Schmidhuber:
Curiosity-driven optimization.
IEEE Congress on Evolutionary Computation 2011: 1343-1349 |
| 28 |  | Giuseppe Cuccu,
Faustino J. Gomez,
Tobias Glasmachers:
Novelty-based restarts for evolution strategies.
IEEE Congress on Evolutionary Computation 2011: 158-163 |
| 27 |  | Leo Pape,
Faustino J. Gomez,
Juergen Ring,
Jürgen Schmidhuber:
Modular deep belief networks that do not forget.
IJCNN 2011: 1191-1198 |
| 26 |  | Yi Sun,
Faustino J. Gomez,
Jürgen Schmidhuber:
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
CoRR abs/1103.5708: (2011) |
| 25 |  | Yi Sun,
Faustino J. Gomez,
Tom Schaul,
Jürgen Schmidhuber:
A Linear Time Natural Evolution Strategy for Non-Separable Functions
CoRR abs/1106.1998: (2011) |
| 2010 |
| 24 |  | Jan Koutník,
Faustino J. Gomez,
Jürgen Schmidhuber:
Evolving neural networks in compressed weight space.
GECCO 2010: 619-626 |
| 23 |  | Yi Sun,
Faustino J. Gomez,
Jürgen Schmidhuber:
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices.
NIPS 2010: 2235-2243 |
| 2009 |
| 22 |  | Faustino J. Gomez:
Sustaining diversity using behavioral information distance.
GECCO 2009: 113-120 |
| 21 |  | Faustino J. Gomez,
Julian Togelius,
Jürgen Schmidhuber:
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning.
ICANN (2) 2009: 765-774 |
| 20 |  | José David Martín-Guerrero,
Faustino J. Gomez,
Emilio Soria-Olivas,
Jürgen Schmidhuber,
Mónica Climente-Martí,
N. Víctor Jiménez-Torres:
A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients.
Expert Syst. Appl. 36(6): 9737-9742 (2009) |
| 2008 |
| 19 |  | Julian Togelius,
Faustino J. Gomez,
Jürgen Schmidhuber:
Learning what to ignore: Memetic climbing in topology and weight space.
IEEE Congress on Evolutionary Computation 2008: 3274-3281 |
| 18 |  | Julian Togelius,
Tom Schaul,
Jürgen Schmidhuber,
Faustino J. Gomez:
Countering Poisonous Inputs with Memetic Neuroevolution.
PPSN 2008: 610-619 |
| 17 |  | Hermann Georg Mayer,
Faustino J. Gomez,
Daan Wierstra,
Istvan Nagy,
Alois Knoll,
Jürgen Schmidhuber:
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.
Advanced Robotics 22(13-14): 1521-1537 (2008) |
| 16 |  | Faustino J. Gomez,
Jürgen Schmidhuber,
Risto Miikkulainen:
Accelerated Neural Evolution through Cooperatively Coevolved Synapses.
Journal of Machine Learning Research 9: 937-965 (2008) |
| 2007 |
| 15 |  | Jürgen Schmidhuber,
Daan Wierstra,
Matteo Gagliolo,
Faustino J. Gomez:
Training Recurrent Networks by Evolino.
Neural Computation 19(3): 757-779 (2007) |
| 2006 |
| 14 |  | Faustino J. Gomez,
Jürgen Schmidhuber,
Risto Miikkulainen:
Efficient Non-linear Control Through Neuroevolution.
ECML 2006: 654-662 |
| 13 |  | Jürgen Schmidhuber,
Matteo Gagliolo,
Daan Wierstra,
Faustino J. Gomez:
Evolino for recurrent support vector machines.
ESANN 2006: 593-598 |
| 12 |  | Viktor Zhumatiy,
Faustino J. Gomez,
Marcus Hutter,
Jürgen Schmidhuber:
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot.
IAS 2006: 272-281 |
| 11 |  | Alex Graves,
Santiago Fernández,
Faustino J. Gomez,
Jürgen Schmidhuber:
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.
ICML 2006: 369-376 |
| 10 |  | Hermann Georg Mayer,
Faustino J. Gomez,
Daan Wierstra,
Istvan Nagy,
Alois Knoll,
Jürgen Schmidhuber:
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks.
IROS 2006: 543-548 |
| 9 |  | Viktor Zhumatiy,
Faustino J. Gomez,
Marcus Hutter,
Jürgen Schmidhuber:
Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot
CoRR abs/cs/0603023: (2006) |
| 2005 |
| 8 |  | Daan Wierstra,
Faustino J. Gomez,
Jürgen Schmidhuber:
Modeling systems with internal state using evolino.
GECCO 2005: 1795-1802 |
| 7 |  | Faustino J. Gomez,
Jürgen Schmidhuber:
Co-evolving recurrent neurons learn deep memory POMDPs.
GECCO 2005: 491-498 |
| 6 |  | Faustino J. Gomez,
Jürgen Schmidhuber:
Evolving Modular Fast-Weight Networks for Control.
ICANN (2) 2005: 383-389 |
| 5 |  | Jürgen Schmidhuber,
Daan Wierstra,
Faustino J. Gomez:
Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning.
IJCAI 2005: 853-858 |
| 4 |  | Jürgen Schmidhuber,
Matteo Gagliolo,
Daan Wierstra,
Faustino J. Gomez:
Evolino for recurrent support vector machines
CoRR abs/cs/0512062: (2005) |
| 2004 |
| 3 |  | Faustino J. Gomez,
Risto Miikkulainen:
Transfer of Neuroevolved Controllers in Unstable Domains.
GECCO (2) 2004: 957-968 |
| 2003 |
| 2 |  | Faustino J. Gomez,
Risto Miikkulainen:
Active Guidance for a Finless Rocket Using Neuroevolution.
GECCO 2003: 2084-2095 |
| 1999 |
| 1 |  | Faustino J. Gomez,
Risto Miikkulainen:
Solving Non-Markovian Control Tasks with Neuro-Evolution.
IJCAI 1999: 1356-1361 |