The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Kenji Doya: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Stefan Elfwing, Eiji Uchibe, Kenji Doya
    An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:507-509 [Conf]
  2. Yasuo Nagayuki, Shin Ishii, Kenji Doya
    Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. [Citation Graph (0, 0)][DBLP]
    ICMAS, 2000, pp:215-221 [Conf]
  3. Jun Morimoto, Kenji Doya
    Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:623-630 [Conf]
  4. Raju S. Bapi, Kenji Doya
    A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:260-263 [Conf]
  5. Jun Morimoto, Kenji Doya
    Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:850-853 [Conf]
  6. V. S. Chandrasekhar Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya
    Chunking Phenomenon in Complex Sequential Skill Learning in Humans. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:294-299 [Conf]
  7. Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato
    A Model of the Electrophysiological Properties of the Inferior Olive Neurons. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1525-1528 [Conf]
  8. Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
    Switching Particle Filters for Efficient Real-time Visual Tracking. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:720-723 [Conf]
  9. Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka
    Responding to Modalities with Different Latencies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  10. Kenji Doya
    Temporal Difference Learning in Continuous Time and Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:1073-1079 [Conf]
  11. Kenji Doya
    Efficient Nonlinear Control with Actor-Tutor Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:1012-1018 [Conf]
  12. Kenji Doya, Mary E. T. Boyle, Allen I. Selverston
    Maaping Between Neural and Physical Activities of the Lobster Gastric Mill. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:913-920 [Conf]
  13. Kenji Doya, Terrence J. Sejnowski
    A Novel Reinforcement Model of Birdsong Vocalization Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:101-108 [Conf]
  14. Kenji Doya, Allen I. Selverston, Peter F. Rowat
    A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:566-573 [Conf]
  15. Kenji Doya, Shuji Yoshizawa
    Adaptive Synchronization of Neural and Physical Oscillators. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:109-116 [Conf]
  16. Jun Morimoto, Kenji Doya
    Robust Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1061-1067 [Conf]
  17. Hiroyuki Nakahara, Kenji Doya
    Dynamics of Attention as Near Saddle-Node Bifurcation Behavior. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:38-44 [Conf]
  18. Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura
    Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  19. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  20. Raju S. Bapi, Kenji Doya
    Multiple Forward Model Architecture for Sequence Processing. [Citation Graph (0, 0)][DBLP]
    Sequence Learning, 2001, pp:308-320 [Conf]
  21. Genci Capi, Kenji Doya
    Application of evolutionary computation for efficient reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2006, v:20, n:1, pp:35-55 [Journal]
  22. Kenji Doya
    Reinforcement Learning in Continuous Time and Space. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:1, pp:219-245 [Journal]
  23. Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato
    Multiple Model-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:6, pp:1347-1369 [Journal]
  24. Jun Morimoto, Kenji Doya
    Robust Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:2, pp:335-359 [Journal]
  25. Hiroyuki Nakahara, Kenji Doya
    Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:1, pp:113-132 [Journal]
  26. Jun Morimoto, Kenji Doya
    Reinforcement Learning State Estimator. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:3, pp:730-756 [Journal]
  27. Kenji Doya
    Metalearning and neuromodulation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:495-506 [Journal]
  28. Kenji Doya
    What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:7-8, pp:961-974 [Journal]
  29. Kenji Doya, Peter Dayan, Michael E. Hasselmo
    Introduction for 2002 Special Issue: Computational Models of Neuromodulation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:475-477 [Journal]
  30. Kenji Doya, Shuji Yoshizawa
    Adaptive neural oscillator using continuous-time back-propagation learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1989, v:2, n:5, pp:375-385 [Journal]
  31. Hiroyuki Miyamoto, Jun Morimoto, Kenji Doya, Mitsuo Kawato
    Reinforcement learning with via-point representation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:3, pp:299-305 [Journal]
  32. Nicolas Schweighofer, Kenji Doya
    Meta-learning in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:1, pp:5-9 [Journal]
  33. Kazuyuki Samejima, Kenji Doya, Mitsuo Kawato
    Inter-module credit assignment in modular reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:7, pp:985-994 [Journal]
  34. 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. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:8, pp:1233-1241 [Journal]
  35. 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]. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:2, pp:285-286 [Journal]
  36. Genci Capi, Kenji Doya
    Evolution of recurrent neural controllers using an extended parallel genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2005, v:52, n:2-3, pp:148-159 [Journal]
  37. Jun Morimoto, Kenji Doya
    Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2001, v:36, n:1, pp:37-51 [Journal]
  38. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
    Learning CPG-based biped locomotion with a policy gradient method. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2006, v:54, n:11, pp:911-920 [Journal]
  39. Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
    Switching particle filters for efficient visual tracking. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2006, v:54, n:10, pp:873-884 [Journal]
  40. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
    Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:4164-4169 [Conf]
  41. Kenji Doya
    Designing the Reward System: Computational and Biological Principles. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:645- [Conf]
  42. Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen
    Biologically inspired embodied evolution of survival. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:2210-2216 [Conf]
  43. Mathieu Bertin, Nicolas Schweighofer, Kenji Doya
    Multiple model-based reinforcement learning explains dopamine neuronal activity. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:6, pp:668-675 [Journal]

  44. Robust Population Coding in Free-Energy-Based Reinforcement Learning. [Citation Graph (, )][DBLP]


  45. Calcium Responses Model in Striatum Dependent on Timed Input Sources. [Citation Graph (, )][DBLP]


  46. Bayesian System Identification of Molecular Cascades. [Citation Graph (, )][DBLP]


  47. Estimating Internal Variables of a Decision Maker's Brain: A Model-Based Approach for Neuroscience. [Citation Graph (, )][DBLP]


  48. Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents. [Citation Graph (, )][DBLP]


  49. NeuroEvolution Based on Reusable and Hierarchical Modular Representation. [Citation Graph (, )][DBLP]


  50. Emergence of Different Mating Strategies in Artificial Embodied Evolution. [Citation Graph (, )][DBLP]


  51. Hierarchical Chunking during Learning of Visuomotor Sequences. [Citation Graph (, )][DBLP]


  52. A New Natural Policy Gradient by Stationary Distribution Metric. [Citation Graph (, )][DBLP]


  53. Toward a Spiking-Neuron Model of the Oculomotor System. [Citation Graph (, )][DBLP]


  54. Evolving recurrent neural controllers for sequential tasks: a parallel implementation. [Citation Graph (, )][DBLP]


  55. Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories. [Citation Graph (, )][DBLP]


  56. Statistical characteristics of climbing fiber spikes necessary for efficient cerebellar learning. [Citation Graph (, )][DBLP]


Search in 0.032secs, Finished in 0.034secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002