2009 |
59 | EE | Kenji Doya,
Stephen Grossberg,
John G. Taylor:
New action editors join the journal! Five exciting special issues in the works!
Neural Networks 22(1): 1 (2009) |
2008 |
58 | | Masumi Ishikawa,
Kenji Doya,
Hiroyuki Miyamoto,
Takeshi Yamakawa:
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
Springer 2008 |
57 | | Masumi Ishikawa,
Kenji Doya,
Hiroyuki Miyamoto,
Takeshi Yamakawa:
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
Springer 2008 |
56 | EE | Tetsuro Morimura,
Eiji Uchibe,
Junichiro Yoshimoto,
Kenji Doya:
A New Natural Policy Gradient by Stationary Distribution Metric.
ECML/PKDD (2) 2008: 82-97 |
55 | EE | Makoto Otsuka,
Junichiro Yoshimoto,
Kenji Doya:
Robust Population Coding in Free-Energy-Based Reinforcement Learning.
ICANN (1) 2008: 377-386 |
54 | EE | Fredrik Bissmarck,
Hiroyuki Nakahara,
Kenji Doya,
Okihide Hikosaka:
Combining Modalities with Different Latencies for Optimal Motor Control.
J. Cognitive Neuroscience 20(11): 1966-1979 (2008) |
53 | EE | Kenji Doya,
Stephen Grossberg,
John G. Taylor:
Neural Networks goes electronic at twenty!
Neural Networks 21(1): 1-2 (2008) |
52 | EE | Masumi Ishikawa,
Kenji Doya:
Mini-special issue: ICONIP 2007.
Neural Networks 21(10): 1419 (2008) |
51 | EE | Eiji Uchibe,
Kenji Doya:
Finding intrinsic rewards by embodied evolution and constrained reinforcement learning.
Neural Networks 21(10): 1447-1455 (2008) |
2007 |
50 | EE | Kenji Doya:
Designing the Reward System: Computational and Biological Principles.
FOCI 2007: 645 |
49 | EE | Kazuyuki Samejima,
Kenji Doya:
Estimating Internal Variables of a Decision Maker's Brain: A Model-Based Approach for Neuroscience.
ICONIP (1) 2007: 596-603 |
48 | EE | Junichiro Yoshimoto,
Kenji Doya:
Bayesian System Identification of Molecular Cascades.
ICONIP (1) 2007: 614-624 |
47 | EE | Eiji Uchibe,
Kenji Doya:
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents.
ICONIP (2) 2007: 167-176 |
46 | EE | Stefan Elfwing,
Eiji Uchibe,
Kenji Doya,
Henrik I. Christensen:
Evolutionary Development of Hierarchical Learning Structures.
IEEE Trans. Evolutionary Computation 11(2): 249-264 (2007) |
45 | EE | Jun Morimoto,
Kenji Doya:
Reinforcement Learning State Estimator.
Neural Computation 19(3): 730-756 (2007) |
44 | EE | Saori C. Tanaka,
Kazuyuki Samejima,
Go Okada,
Kazutaka Ueda,
Yasumasa Okamoto,
Shigeto Yamawaki,
Kenji Doya:
Erratum to "Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics" [Neural Networks 19 (8) (2006) 1233-1241].
Neural Networks 20(2): 285-286 (2007) |
43 | EE | Mathieu Bertin,
Nicolas Schweighofer,
Kenji Doya:
Multiple model-based reinforcement learning explains dopamine neuronal activity.
Neural Networks 20(6): 668-675 (2007) |
42 | EE | Takamitsu Matsubara,
Jun Morimoto,
Jun Nakanishi,
Masa-aki Sato,
Kenji Doya:
Learning a dynamic policy by using policy gradient: application to biped walking.
Systems and Computers in Japan 38(4): 25-38 (2007) |
2006 |
41 | EE | Krishna P. Miyapuram,
Raju S. Bapi,
Chandrasekhar V. S. Pammi,
Ahmed,
Kenji Doya:
Hierarchical Chunking during Learning of Visuomotor Sequences.
IJCNN 2006: 249-253 |
40 | EE | Genci Capi,
Kenji Doya:
Application of evolutionary computation for efficient reinforcement learning.
Applied Artificial Intelligence 20(1): 35-55 (2006) |
39 | EE | Saori C. Tanaka,
Kazuyuki Samejima,
Go Okada,
Kazutaka Ueda,
Yasumasa Okamoto,
Shigeto Yamawaki,
Kenji Doya:
Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics.
Neural Networks 19(8): 1233-1241 (2006) |
38 | EE | Takashi Bando,
Tomohiro Shibata,
Kenji Doya,
Shin Ishii:
Switching particle filters for efficient visual tracking.
Robotics and Autonomous Systems 54(10): 873-884 (2006) |
37 | EE | Takamitsu Matsubara,
Jun Morimoto,
Jun Nakanishi,
Masa-aki Sato,
Kenji Doya:
Learning CPG-based biped locomotion with a policy gradient method.
Robotics and Autonomous Systems 54(11): 911-920 (2006) |
2005 |
36 | EE | Stefan Elfwing,
Eiji Uchibe,
Kenji Doya,
Henrik I. Christensen:
Biologically inspired embodied evolution of survival.
Congress on Evolutionary Computation 2005: 2210-2216 |
35 | | Takamitsu Matsubara,
Jun Morimoto,
Jun Nakanishi,
Masa-aki Sato,
Kenji Doya:
Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion.
ICRA 2005: 4164-4169 |
34 | EE | Jun Morimoto,
Kenji Doya:
Robust Reinforcement Learning.
Neural Computation 17(2): 335-359 (2005) |
33 | EE | Genci Capi,
Kenji Doya:
Evolution of recurrent neural controllers using an extended parallel genetic algorithm.
Robotics and Autonomous Systems 52(2-3): 148-159 (2005) |
2004 |
32 | EE | Chandrasekhar V. S. Pammi,
Krishna P. Miyapuram,
Raju S. Bapi,
Kenji Doya:
Chunking Phenomenon in Complex Sequential Skill Learning in Humans.
ICONIP 2004: 294-299 |
31 | EE | Takashi Bando,
Tomohiro Shibata,
Kenji Doya,
Shin Ishii:
Switching Particle Filters for Efficient Real-time Visual Tracking.
ICPR (2) 2004: 720-723 |
30 | EE | Fredrik Bissmarck,
Hiroyuki Nakahara,
Kenji Doya,
Okihide Hikosaka:
Responding to Modalities with Different Latencies.
NIPS 2004 |
29 | EE | Hiroyuki Miyamoto,
Jun Morimoto,
Kenji Doya,
Mitsuo Kawato:
Reinforcement learning with via-point representation.
Neural Networks 17(3): 299-305 (2004) |
2003 |
28 | EE | Stefan Elfwing,
Eiji Uchibe,
Kenji Doya:
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning.
GECCO 2003: 507-509 |
27 | EE | Genci Capi,
Kenji Doya:
Evolving recurrent neural controllers for sequential tasks: a parallel implementation.
IEEE Congress on Evolutionary Computation (1) 2003: 514-519 |
26 | EE | Saori C. Tanaka,
Kenji Doya,
Go Okada,
Kazutaka Ueda,
Yasumasa Okamoto,
Shigeto Yamawaki:
Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales.
NIPS 2003 |
25 | EE | Kazuyuki Samejima,
Kenji Doya,
Yasumasa Ueda,
Minoru Kimura:
Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter.
NIPS 2003 |
24 | EE | Nicolas Schweighofer,
Kenji Doya:
Meta-learning in Reinforcement Learning.
Neural Networks 16(1): 5-9 (2003) |
23 | EE | Kazuyuki Samejima,
Kenji Doya,
Mitsuo Kawato:
Inter-module credit assignment in modular reinforcement learning.
Neural Networks 16(7): 985-994 (2003) |
2002 |
22 | EE | Kenji Doya,
Kazuyuki Samejima,
Ken-ichi Katagiri,
Mitsuo Kawato:
Multiple Model-Based Reinforcement Learning.
Neural Computation 14(6): 1347-1369 (2002) |
21 | EE | Kenji Doya,
Peter Dayan,
Michael E. Hasselmo:
Introduction for 2002 Special Issue: Computational Models of Neuromodulation.
Neural Networks 15(4-6): 475-477 (2002) |
20 | EE | Kenji Doya:
Metalearning and neuromodulation.
Neural Networks 15(4-6): 495-506 (2002) |
2001 |
19 | EE | Raju S. Bapi,
Kenji Doya:
Multiple Forward Model Architecture for Sequence Processing.
Sequence Learning 2001: 308-320 |
18 | EE | Jun Morimoto,
Kenji Doya:
Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning.
Robotics and Autonomous Systems 36(1): 37-51 (2001) |
2000 |
17 | EE | Yasuo Nagayuki,
Shin Ishii,
Kenji Doya:
Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model.
ICMAS 2000: 215-221 |
16 | | Jun Morimoto,
Kenji Doya:
Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning.
ICML 2000: 623-630 |
15 | | Jun Morimoto,
Kenji Doya:
Robust Reinforcement Learning.
NIPS 2000: 1061-1067 |
14 | | Kenji Doya:
Reinforcement Learning in Continuous Time and Space.
Neural Computation 12(1): 219-245 (2000) |
1999 |
13 | EE | Kenji Doya:
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Neural Networks 12(7-8): 961-974 (1999) |
1998 |
12 | | Nicolas Schweighofer,
Kenji Doya,
Mitsuo Kawato:
A Model of the Electrophysiological Properties of the Inferior Olive Neurons.
ICONIP 1998: 1525-1528 |
11 | | Raju S. Bapi,
Kenji Doya:
A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning.
ICONIP 1998: 260-263 |
10 | | Jun Morimoto,
Kenji Doya:
Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories.
ICONIP 1998: 850-853 |
9 | | Hiroyuki Nakahara,
Kenji Doya:
Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior.
Neural Computation 10(1): 113-132 (1998) |
1996 |
8 | EE | Kenji Doya:
Efficient Nonlinear Control with Actor-Tutor Architecture.
NIPS 1996: 1012-1018 |
1995 |
7 | EE | Kenji Doya:
Temporal Difference Learning in Continuous Time and Space.
NIPS 1995: 1073-1079 |
6 | EE | Hiroyuki Nakahara,
Kenji Doya:
Dynamics of Attention as Near Saddle-Node Bifurcation Behavior.
NIPS 1995: 38-44 |
1994 |
5 | EE | Kenji Doya,
Terrence J. Sejnowski:
A Novel Reinforcement Model of Birdsong Vocalization Learning.
NIPS 1994: 101-108 |
1993 |
4 | EE | Kenji Doya,
Allen I. Selverston,
Peter F. Rowat:
A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillations.
NIPS 1993: 566-573 |
1992 |
3 | EE | Kenji Doya,
Mary E. T. Boyle,
Allen I. Selverston:
Maaping Between Neural and Physical Activities of the Lobster Gastric Mill.
NIPS 1992: 913-920 |
1991 |
2 | EE | Kenji Doya,
Shuji Yoshizawa:
Adaptive Synchronization of Neural and Physical Oscillators.
NIPS 1991: 109-116 |
1989 |
1 | EE | Kenji Doya,
Shuji Yoshizawa:
Adaptive neural oscillator using continuous-time back-propagation learning.
Neural Networks 2(5): 375-385 (1989) |