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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]


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