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) |