Kenji Doya

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2008
45EEKenji Doya, Stephen Grossberg, John G. Taylor: Neural Networks goes electronic at twenty! Neural Networks 21(1): 1-2 (2008)
2007
44EEKenji Doya: Designing the Reward System: Computational and Biological Principles. FOCI 2007: 645
43EEJun Morimoto, Kenji Doya: Reinforcement Learning State Estimator. Neural Computation 19(3): 730-756 (2007)
42EESaori 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)
41EEMathieu Bertin, Nicolas Schweighofer, Kenji Doya: Multiple model-based reinforcement learning explains dopamine neuronal activity. Neural Networks 20(6): 668-675 (2007)
40EETakamitsu 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
39EEGenci Capi, Kenji Doya: Application of evolutionary computation for efficient reinforcement learning. Applied Artificial Intelligence 20(1): 35-55 (2006)
38EESaori 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)
37EETakashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii: Switching particle filters for efficient visual tracking. Robotics and Autonomous Systems 54(10): 873-884 (2006)
36EETakamitsu 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
35EEStefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen: Biologically inspired embodied evolution of survival. Congress on Evolutionary Computation 2005: 2210-2216
34 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
33EEJun Morimoto, Kenji Doya: Robust Reinforcement Learning. Neural Computation 17(2): 335-359 (2005)
32EEGenci 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
31EEV. S. Chandrasekhar Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya: Chunking Phenomenon in Complex Sequential Skill Learning in Humans. ICONIP 2004: 294-299
30EETakashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii: Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) 2004: 720-723
29EEFredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka: Responding to Modalities with Different Latencies. NIPS 2004
28EEHiroyuki Miyamoto, Jun Morimoto, Kenji Doya, Mitsuo Kawato: Reinforcement learning with via-point representation. Neural Networks 17(3): 299-305 (2004)
2003
27EEStefan Elfwing, Eiji Uchibe, Kenji Doya: An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. GECCO 2003: 507-509
26EESaori 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
25EEKazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura: Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter. NIPS 2003
24EENicolas Schweighofer, Kenji Doya: Meta-learning in Reinforcement Learning. Neural Networks 16(1): 5-9 (2003)
23EEKazuyuki Samejima, Kenji Doya, Mitsuo Kawato: Inter-module credit assignment in modular reinforcement learning. Neural Networks 16(7): 985-994 (2003)
2002
22EEKenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato: Multiple Model-Based Reinforcement Learning. Neural Computation 14(6): 1347-1369 (2002)
21EEKenji Doya, Peter Dayan, Michael E. Hasselmo: Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15(4-6): 475-477 (2002)
20EEKenji Doya: Metalearning and neuromodulation. Neural Networks 15(4-6): 495-506 (2002)
2001
19EERaju S. Bapi, Kenji Doya: Multiple Forward Model Architecture for Sequence Processing. Sequence Learning 2001: 308-320
18EEJun 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
17EEYasuo 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
13EEKenji 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
8EEKenji Doya: Efficient Nonlinear Control with Actor-Tutor Architecture. NIPS 1996: 1012-1018
1995
7EEKenji Doya: Temporal Difference Learning in Continuous Time and Space. NIPS 1995: 1073-1079
6EEHiroyuki Nakahara, Kenji Doya: Dynamics of Attention as Near Saddle-Node Bifurcation Behavior. NIPS 1995: 38-44
1994
5EEKenji Doya, Terrence J. Sejnowski: A Novel Reinforcement Model of Birdsong Vocalization Learning. NIPS 1994: 101-108
1993
4EEKenji Doya, Allen I. Selverston, Peter F. Rowat: A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillations. NIPS 1993: 566-573
1992
3EEKenji Doya, Mary E. T. Boyle, Allen I. Selverston: Maaping Between Neural and Physical Activities of the Lobster Gastric Mill. NIPS 1992: 913-920
1991
2EEKenji Doya, Shuji Yoshizawa: Adaptive Synchronization of Neural and Physical Oscillators. NIPS 1991: 109-116
1989
1EEKenji Doya, Shuji Yoshizawa: Adaptive neural oscillator using continuous-time back-propagation learning. Neural Networks 2(5): 375-385 (1989)

Coauthor Index

1Takashi Bando [30] [37]
2Raju S. Bapi [11] [19] [31]
3Mathieu Bertin [41]
4Fredrik Bissmarck [29]
5Mary E. T. Boyle [3]
6Genci Capi [32] [39]
7Henrik I. Christensen [35]
8Peter Dayan [21]
9Stefan Elfwing [27] [35]
10Stephen Grossberg [45]
11Michael E. Hasselmo [21]
12Okihide Hikosaka [29]
13Shin Ishii [17] [30] [37]
14Ken-ichi Katagiri [22]
15Mitsuo Kawato [12] [22] [23] [28]
16Minoru Kimura [25]
17Takamitsu Matsubara [34] [36] [40]
18Hiroyuki Miyamoto [28]
19Krishna P. Miyapuram [31]
20Jun Morimoto [10] [15] [16] [18] [28] [33] [34] [36] [40] [43]
21Yasuo Nagayuki [17]
22Hiroyuki Nakahara [6] [9] [29]
23Jun Nakanishi [34] [36] [40]
24Go Okada [26] [38] [42]
25Yasumasa Okamoto [26] [38] [42]
26V. S. Chandrasekhar Pammi [31]
27Peter F. Rowat [4]
28Kazuyuki Samejima [22] [23] [25] [38] [42]
29Masa-aki Sato [34] [36] [40]
30Nicolas Schweighofer [12] [24] [41]
31Terrence J. Sejnowski [5]
32Allen I. Selverston [3] [4]
33Tomohiro Shibata [30] [37]
34Saori C. Tanaka [26] [38] [42]
35John G. Taylor [45]
36Eiji Uchibe [27] [35]
37Kazutaka Ueda [26] [38] [42]
38Yasumasa Ueda [25]
39Shigeto Yamawaki [26] [38] [42]
40Shuji Yoshizawa [1] [2]

Colors in the list of coauthors

Copyright © Wed Jul 23 13:04:14 2008 by Michael Ley (ley@uni-trier.de)