Faustino J. Gomez

	2009
20		Faustino J. Gomez: Sustaining diversity using behavioral information distance. GECCO 2009: 113-120
19		Faustino J. Gomez, Julian Togelius, Jürgen Schmidhuber: Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning. ICANN (2) 2009: 765-774
18		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
17		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
16		Julian Togelius, Tom Schaul, Jürgen Schmidhuber, Faustino J. Gomez: Countering Poisonous Inputs with Memetic Neuroevolution. PPSN 2008: 610-619
	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

Coauthor Index

1	Mónica Climente-Martí	[18]
2	Santiago Fernández	[11]
3	Matteo Gagliolo	[4] [13] [15]
4	Alex Graves	[11]
5	Marcus Hutter	[9] [12]
6	N. Víctor Jiménez (N. Víctor Jiménez-Torres)	[18]
7	Alois Knoll	[10]
8	José David Martín-Guerrero	[18]
9	Hermann Georg Mayer	[10]
10	Risto Miikkulainen	[1] [2] [3] [14]
11	Istvan Nagy	[10]
12	Tom Schaul	[16]
13	Jürgen Schmidhuber	[4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19]
14	Emilio Soria-Olivas	[18]
15	Julian Togelius	[16] [17] [19]
16	Daan Wierstra	[4] [5] [8] [10] [13] [15]
17	Viktor Zhumatiy	[9] [12]