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Kenji Doya
Person information
- affiliation: Okinawa Institute of Science and Technology, Neural Computation Unit, Japan
- affiliation: Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan
- affiliation: University of California, San Diego, Department of Biology, CA, USA
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2020 – today
- 2024
- [j88]Soheil Keshmiri
, Sutashu Tomonaga, Haruo Mizutani, Kenji Doya:
Respiratory modulation of the heart rate: A potential biomarker of cardiorespiratory function in human. Comput. Biol. Medicine 173: 108335 (2024) - [i17]Theodore Jerome Tinker, Kenji Doya, Jun Tani:
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle. CoRR abs/2405.07473 (2024) - [i16]Yuji Kanagawa, Kenji Doya:
Evolution of Rewards for Food and Motor Action by Simulating Birth and Death. CoRR abs/2406.15016 (2024) - 2023
- [j87]Yusuke Kuniyoshi, Rin Kuriyama, Shu Omura, Carlos Enrique Gutierrez, Zhe Sun, Benedikt Feldotto, Ugo Albanese, Alois C. Knoll, Taiki Yamada, Tomoya Hirayama, Fabrice O. Morin, Jun Igarashi
, Kenji Doya, Tadashi Yamazaki:
Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku. Frontiers Neurorobotics 17 (2023) - [j86]Kim T. Blackwell
, Kenji Doya
:
Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks. PLoS Comput. Biol. 19(8) (2023) - [j85]Florian Lalande, Kenji Doya:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach. Trans. Mach. Learn. Res. 2023 (2023) - [i15]Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani:
Habits and goals in synergy: a variational Bayesian framework for behavior. CoRR abs/2304.05008 (2023) - [i14]Florian Lalande, Kenji Doya:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach. CoRR abs/2306.16906 (2023) - 2022
- [j84]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris
, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur
, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). Adv. Robotics 36(1-2): 1-2 (2022) - [j83]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris
, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on symbol emergence in robotics and cognitive systems (II). Adv. Robotics 36(5-6): 217-218 (2022) - [j82]Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton
, Zhe Sun, Hiroshi Yamaura, Morteza Heidarinejad, Wouter Klijn, Abigail Morrison, Felipe Cruz, Colin McMurtrie, Alois C. Knoll, Jun Igarashi
, Tadashi Yamazaki
, Kenji Doya, Fabrice O. Morin:
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure. Frontiers Neuroinformatics 16: 884180 (2022) - [j81]Carlos Enrique Gutierrez
, Henrik Skibbe, Hugo Musset
, Kenji Doya:
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. Frontiers Neuroinformatics 16 (2022) - [j80]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 145: xix (2022) - [j79]Kenji Doya, Taro Toyoizumi, DeLiang Wang:
Continual growth and a transition. Neural Networks 145: xx-xxi (2022) - [j78]Tadahiro Taniguchi
, Hiroshi Yamakawa
, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura
, Akira Taniguchi
:
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots. Neural Networks 150: 293-312 (2022) - [j77]Kenji Doya
, Arisa Ema, Hiroaki Kitano, Masamichi Sakagami, Stuart Russell
:
Social impact and governance of AI and neurotechnologies. Neural Networks 152: 542-554 (2022) - [j76]Kenji Doya, Karl J. Friston
, Masashi Sugiyama, Joshua B. Tenenbaum:
Neural Networks special issue on Artificial Intelligence and Brain Science. Neural Networks 155: 328-329 (2022) - [c61]Dongqi Han
, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li:
Variational oracle guiding for reinforcement learning. ICLR 2022 - [c60]Florian Lalande
, Kenji Doya
:
Numerical Data Imputation: Choose kNN over Deep Learning. SISAP 2022: 3-10 - 2021
- [j75]Kenji Doya, DeLiang Wang:
Maintaining the Publication Infrastructure in a Worldwide Pandemic. Neural Networks 133: xvi-xvii (2021) - [j74]Eiji Uchibe
, Kenji Doya:
Forward and inverse reinforcement learning sharing network weights and hyperparameters. Neural Networks 144: 138-153 (2021) - [c59]Kazumi Kasahara, Tatsuhiro Nakamura, Kazumasa Uehara, Yousuke Ogata, Kenji Doya, Takashi Hanakawa:
Effects of transcranial direct current stimulation in brain-computer interface. LifeTech 2021: 468-470 - [i13]Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi:
Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots. CoRR abs/2103.08183 (2021) - [i12]Dongqi Han, Kenji Doya, Jun Tani:
Goal-Directed Planning by Reinforcement Learning and Active Inference. CoRR abs/2106.09938 (2021) - 2020
- [j73]Yoshifumi Abe, Norio Takata
, Yuki Sakai
, Hiro Taiyo Hamada
, Yuichi Hiraoka, Tomomi Aida, Kohichi Tanaka
, Denis Le Bihan
, Kenji Doya, Kenji F. Tanaka
:
Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model. NeuroImage 223: 117318 (2020) - [j72]Dongqi Han
, Kenji Doya, Jun Tani:
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. Neural Networks 129: 149-162 (2020) - [j71]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 132: iii (2020) - [c58]Yu Shimizu, Junichiro Yoshimoto, Masahiro Takamura, Go Okada, Tomoya Matsumoto, Manabu Fuchikami, Satoshi Okada, Shigeru Morinobu, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Maximum Credibility Voting (MCV) An Integrative Approach for Accurate Diagnosis of Major Depressive Disorder from Clinically Readily Available Data. APSIPA 2020: 1023-1032 - [c57]Dongqi Han
, Kenji Doya, Jun Tani:
Variational Recurrent Models for Solving Partially Observable Control Tasks. ICLR 2020 - [i11]Eiji Uchibe, Kenji Doya:
Imitation learning based on entropy-regularized forward and inverse reinforcement learning. CoRR abs/2008.07284 (2020)
2010 – 2019
- 2019
- [c56]Qiong Huang
, Kenji Doya
:
An Experimental Study of Emergence of Communication of Reinforcement Learning Agents. AGI 2019: 91-100 - [c55]Tadashi Kozuno, Eiji Uchibe, Kenji Doya:
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. AISTATS 2019: 2995-3003 - [c54]Yuma Kajihara, Takashi Ikegami, Kenji Doya:
Model-based Empowerment Computation for Dynamical Agents. SSCI 2019: 255-261 - [i10]Dongqi Han
, Kenji Doya, Jun Tani:
Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN. CoRR abs/1901.10113 (2019) - [i9]Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya:
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. CoRR abs/1902.01240 (2019) - [i8]Tadashi Kozuno, Dongqi Han
, Kenji Doya:
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning. CoRR abs/1906.07586 (2019) - [i7]Henrik Skibbe, Akiya Watakabe, Ken Nakae, Carlos Enrique Gutierrez, Hiromichi Tsukada, Junichi Hata, Takashi Kawase, Rui Gong, Alexander Woodward, Kenji Doya, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii:
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. CoRR abs/1908.00876 (2019) - [i6]Dongqi Han, Kenji Doya, Jun Tani:
Variational Recurrent Models for Solving Partially Observable Control Tasks. CoRR abs/1912.10703 (2019) - [i5]Kenji Doya, Shimon Edelman, Takashi Hashimoto:
Language as Goal-Directed Sequential Behavior: Computational Theories, Brain Mechanisms, Evolutionary Roots (NII Shonan Meeting 141). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j70]Ken Kinjo, Eiji Uchibe
, Kenji Doya:
Robustness of linearly solvable Markov games employing inaccurate dynamics model. Artif. Life Robotics 23(1): 1-9 (2018) - [j69]Kenji Doya, DeLiang Wang:
Fostering deep learning and beyond. Neural Networks 97: iii-iv (2018) - [j68]Ildefons Magrans de Abril, Junichiro Yoshimoto
, Kenji Doya:
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions. Neural Networks 102: 120-137 (2018) - [j67]Stefan Elfwing
, Eiji Uchibe
, Kenji Doya:
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural Networks 107: 3-11 (2018) - [c53]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Online meta-learning by parallel algorithm competition. GECCO 2018: 426-433 - [c52]Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya:
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. ICML 2018: 4062-4071 - [i4]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Unbounded Output Networks for Classification. CoRR abs/1807.09443 (2018) - 2017
- [j66]Kosuke Yoshida
, Junichiro Yoshimoto
, Kenji Doya:
Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data. BMC Bioinform. 18(1): 108:1-108:11 (2017) - [j65]Jiexin Wang
, Eiji Uchibe
, Kenji Doya:
Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer. Frontiers Neurorobotics 11: 1 (2017) - [j64]Kenji Doya, DeLiang Wang:
Promoting Further Developments of Neural Networks. Neural Networks 85: xiii (2017) - [j63]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 94: iii (2017) - [c51]Chris Reinke, Eiji Uchibe, Kenji Doya:
Average Reward Optimization with Multiple Discounting Reinforcement Learners. ICONIP (1) 2017: 789-800 - [i3]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning. CoRR abs/1702.03118 (2017) - [i2]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Online Meta-learning by Parallel Algorithm Competition. CoRR abs/1702.07490 (2017) - [i1]Tadashi Kozuno, Eiji Uchibe, Kenji Doya:
Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming. CoRR abs/1710.10866 (2017) - 2016
- [j62]Jiexin Wang
, Eiji Uchibe
, Kenji Doya:
EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot. Artif. Life Robotics 21(1): 125-131 (2016) - [j61]Kenji Doya, DeLiang Wang:
State of Neural Networks Is Strong. Neural Networks 73: xiii (2016) - [j60]Stefan Elfwing, Eiji Uchibe
, Kenji Doya:
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning. Neural Networks 84: 17-27 (2016) - [c50]Qiong Huang, Eiji Uchibe, Kenji Doya:
Emergence of communication among reinforcement learning agents under coordination environment. ICDL-EPIROB 2016: 57-58 - [e7]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9947, 2016, ISBN 978-3-319-46686-6 [contents] - [e6]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9948, 2016, ISBN 978-3-319-46671-2 [contents] - [e5]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9949, 2016, ISBN 978-3-319-46674-3 [contents] - [e4]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part IV. Lecture Notes in Computer Science 9950, 2016, ISBN 978-3-319-46680-4 [contents] - 2015
- [j59]Stefan Elfwing, Eiji Uchibe
, Kenji Doya
:
Expected energy-based restricted Boltzmann machine for classification. Neural Networks 64: 29-38 (2015) - [j58]Makoto Ito
, Kenji Doya:
Parallel Representation of Value-Based and Finite State-Based Strategies in the Ventral and Dorsal Striatum. PLoS Comput. Biol. 11(11) (2015) - [c49]Kosuke Yoshida, Yu Shimizu, Junichiro Yoshimoto
, Shigeru Toki, Go Okada, Masahiro Takamura
, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Resting state functional connectivity explains individual scores of multiple clinical measures for major depression. BIBM 2015: 1078-1083 - [c48]JeongHun Baek, Shigeyuki Oba, Junichiro Yoshimoto
, Kenji Doya, Shin Ishii
:
Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. ICONIP (3) 2015: 583-591 - 2014
- [c47]Eiji Uchibe, Kenji Doya:
Inverse reinforcement learning using Dynamic Policy Programming. ICDL-EPIROB 2014: 222-228 - [c46]Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi
:
Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. ICONIP (1) 2014: 35-41 - [c45]Eiji Uchibe, Kenji Doya:
Combining learned controllers to achieve new goals based on linearly solvable MDPs. ICRA 2014: 5252-5259 - 2013
- [j57]Takashi Nakano
, Junichiro Yoshimoto
, Kenji Doya:
A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes. Frontiers Comput. Neurosci. 7: 119 (2013) - [j56]Stefan Elfwing, Eiji Uchibe
, Kenji Doya:
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. Frontiers Neurorobotics 7: 3 (2013) - [j55]Ken Kinjo, Eiji Uchibe
, Kenji Doya:
Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task. Frontiers Neurorobotics 7: 7 (2013) - [c44]Naoto Yoshida
, Eiji Uchibe, Kenji Doya:
Reinforcement learning with state-dependent discount factor. ICDL-EPIROB 2013: 1-6 - 2012
- [j54]Norikazu Sugimoto, Masahiko Haruno, Kenji Doya, Mitsuo Kawato:
MOSAIC for Multiple-Reward Environments. Neural Comput. 24(3): 577-606 (2012) - [j53]Chandrasekhar V. S. Pammi, Krishna P. Miyapuram
, Ahmed, Kazuyuki Samejima, Raju S. Bapi
, Kenji Doya
:
Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. NeuroImage 59(2): 1180-1189 (2012) - [j52]Kenji Doya
, John G. Taylor, DeLiang Wang:
Expedited review process. Neural Networks 25: 1 (2012) - [j51]Kenji Doya
, DeLiang Wang:
Loss of a Co-Editor-in-Chief and friend. Neural Networks 29: v (2012) - [c43]Kenji Doya, John P. O'Doherty, Alexandre Pouget, Peter Bossaerts, Nathaniel D. Daw, Yael Niv:
Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan. CogSci 2012 - 2011
- [j50]Stefan Elfwing, Eiji Uchibe
, Kenji Doya
, Henrik I. Christensen
:
Darwinian embodied evolution of the learning ability for survival. Adapt. Behav. 19(2): 101-120 (2011) - [j49]Kenji Doya
, Stephen Grossberg, John G. Taylor, DeLiang Wang:
An excellent year and a transition. Neural Networks 24(1): 1 (2011) - [j48]Vassilis Cutsuridis, Tjitske Heida
, Wlodek Duch
, Kenji Doya
:
Neurocomputational models of brain disorders. Neural Networks 24(6): 513-514 (2011) - [j47]Shin Ishii
, Markus Diesmann
, Kenji Doya
:
Multi-scale, multi-modal neural modeling and simulation. Neural Networks 24(9): 917 (2011) - 2010
- [j46]Masato Hoshino, Hiroshi Tsujino, Kenji Doya:
Adaptive Selection of Learning Strategy for Autonomous Sequence Learning in Rats. Aust. J. Intell. Inf. Process. Syst. 11(2) (2010) - [j45]Tetsuro Morimura, Eiji Uchibe
, Junichiro Yoshimoto
, Jan Peters
, Kenji Doya
:
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Comput. 22(2): 342-376 (2010) - [j44]Kenji Doya
, Stephen Grossberg, John G. Taylor:
Editorial for 2010. Neural Networks 23(1): 1 (2010) - [j43]Michael Klein, Hans Kamp, Guenther Palm, Kenji Doya
:
A computational neural model of goal-directed utterance selection. Neural Networks 23(5): 592-606 (2010) - [j42]Takashi Nakano
, Tomokazu Doi, Junichiro Yoshimoto
, Kenji Doya
:
A Kinetic Model of Dopamine- and Calcium-Dependent Striatal Synaptic Plasticity. PLoS Comput. Biol. 6(2) (2010) - [c42]Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya:
Free-energy-based reinforcement learning in a partially observable environment. ESANN 2010 - [c41]Stefan Elfwing, Makoto Otsuka, Eiji Uchibe, Kenji Doya:
Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs. ICONIP (1) 2010: 215-222 - [c40]Jan Morén, Tomohiro Shibata
, Kenji Doya:
Toward a Spiking-Neuron Model of the Oculomotor System. SAB 2010: 104-113
2000 – 2009
- 2009
- [j41]Yusuke Fujiwara, Okito Yamashita, Dai Kawawaki, Kenji Doya
, Mitsuo Kawato, Keisuke Toyama
, Masa-aki Sato:
A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. NeuroImage 45(2): 393-409 (2009) - [j40]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) - [c39]Takashi Nakano
, Junichiro Yoshimoto
, Jeff Wickens, Kenji Doya:
Calcium Responses Model in Striatum Dependent on Timed Input Sources. ICANN (1) 2009: 249-258 - [c38]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Emergence of Different Mating Strategies in Artificial Embodied Evolution. ICONIP (2) 2009: 638-647 - [c37]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya:
A Generalized Natural Actor-Critic Algorithm. NIPS 2009: 1312-1320 - [p1]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Co-evolution of Rewards and Meta-parameters in Embodied Evolution. Creating Brain-Like Intelligence 2009: 278-302 - [e3]Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge J. Ritter, Kenji Doya:
Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems. Lecture Notes in Computer Science 5436, Springer 2009, ISBN 978-3-642-00615-9 [contents] - 2008
- [j39]Stefan Elfwing, Eiji Uchibe
, Kenji Doya
, Henrik I. Christensen
:
Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning. Adapt. Behav. 16(6): 400-412 (2008) - [j38]Takashi Sato, Eiji Uchibe, Kenji Doya:
Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents. Artif. Life Robotics 12(1-2): 70-74 (2008) - [j37]Tetsuro Morimura, Eiji Uchibe, Kenji Doya:
Natural actor-critic with baseline adjustment for variance reduction. Artif. Life Robotics 13(1): 275-279 (2008) - [j36]Fredrik Bissmarck, Hiroyuki Nakahara
, Kenji Doya
, Okihide Hikosaka:
Combining Modalities with Different Latencies for Optimal Motor Control. J. Cogn. Neurosci. 20(11): 1966-1979 (2008) - [j35]Kenji Doya
, Stephen Grossberg, John G. Taylor:
Neural Networks goes electronic at twenty! Neural Networks 21(1): 1-2 (2008) - [j34]Masumi Ishikawa, Kenji Doya
:
Mini-special issue: ICONIP 2007. Neural Networks 21(10): 1419 (2008) - [j33]Eiji Uchibe
, Kenji Doya
:
Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. Neural Networks 21(10): 1447-1455 (2008) - [c36]Makoto Otsuka, Junichiro Yoshimoto
, Kenji Doya:
Robust Population Coding in Free-Energy-Based Reinforcement Learning. ICANN (1) 2008: 377-386 - [c35]Takumi Kamioka, Eiji Uchibe, Kenji Doya:
NeuroEvolution Based on Reusable and Hierarchical Modular Representation. ICONIP (1) 2008: 22-31 - [c34]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto
, Kenji Doya:
A New Natural Policy Gradient by Stationary Distribution Metric. ECML/PKDD (2) 2008: 82-97 - [e2]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. Lecture Notes in Computer Science 4984, Springer 2008, ISBN 978-3-540-69154-9 [contents] - [e1]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. Lecture Notes in Computer Science 4985, Springer 2008, ISBN 978-3-540-69159-4 [contents] - 2007
- [j32]Jun Morimoto, Kenji Doya
:
Reinforcement Learning State Estimator. Neural Comput. 19(3): 730-756 (2007) - [j31]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) - [j30]Mathieu Bertin, Nicolas Schweighofer
, Kenji Doya
:
Multiple model-based reinforcement learning explains dopamine neuronal activity. Neural Networks 20(6): 668-675 (2007) - [j29]Hideaki Ogasawara, Tomokazu Doi, Kenji Doya
, Mitsuo Kawato:
Nitric Oxide Regulates Input Specificity of Long-Term Depression and Context Dependence of Cerebellar Learning. PLoS Comput. Biol. 3(1) (2007) - [j28]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning a dynamic policy by using policy gradient: application to biped walking. Syst. Comput. Jpn. 38(4): 25-38 (2007) - [j27]Stefan Elfwing, Eiji Uchibe
, Kenji Doya
, Henrik I. Christensen
:
Evolutionary Development of Hierarchical Learning Structures. IEEE Trans. Evol. Comput. 11(2): 249-264 (2007) - [c33]Kenji Doya:
Designing the Reward System: Computational and Biological Principles. FOCI 2007: 645 - [c32]Eiji Uchibe, Kenji Doya:
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents. ICONIP (2) 2007: 167-176 - [c31]Kazuyuki Samejima, Kenji Doya:
Estimating Internal Variables of a Decision Maker's Brain: A Model-Based Approach for Neuroscience. ICONIP (1) 2007: 596-603 - [c30]Junichiro Yoshimoto
, Kenji Doya:
Bayesian System Identification of Molecular Cascades. ICONIP (1) 2007: 614-624 - 2006
- [j26]Genci Capi, Kenji Doya
:
Application of evolutionary computation for efficient reinforcement learning. Appl. Artif. Intell. 20(1): 35-55 (2006) - [j25]Raju S. Bapi
, Krishna P. Miyapuram
, F. X. Graydon, Kenji Doya
:
fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. NeuroImage 32(2): 714-727 (2006) - [j24]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) - [j23]Nicolas Schweighofer
, K. Shishida, Cheol E. Han
, Yasumasa Okamoto, Saori C. Tanaka
, Shigeto Yamawaki, Kenji Doya
:
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints. PLoS Comput. Biol. 2(11) (2006) - [j22]Takashi Bando, Tomohiro Shibata
, Kenji Doya
, Shin Ishii
:
Switching particle filters for efficient visual tracking. Robotics Auton. Syst. 54(10): 873-884 (2006) - [j21]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
:
Learning CPG-based biped locomotion with a policy gradient method. Robotics Auton. Syst. 54(11): 911-920 (2006) - [c29]Krishna P. Miyapuram, Raju S. Bapi
, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya:
Hierarchical Chunking during Learning of Visuomotor Sequences. IJCNN 2006: 249-253 - 2005
- [j20]Genci Capi, Kenji Doya
:
Evolution of Neural Architecture Fitting Environmental Dynamics. Adapt. Behav. 13(1): 53-66 (2005) - [j19]Kenji Doya
, Eiji Uchibe
:
The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction. Adapt. Behav. 13(2): 149-160 (2005) - [j18]Jun Morimoto, Kenji Doya
:
Robust Reinforcement Learning. Neural Comput. 17(2): 335-359 (2005) - [j17]Genci Capi, Kenji Doya
:
Evolution of recurrent neural controllers using an extended parallel genetic algorithm. Robotics Auton. Syst. 52(2-3): 148-159 (2005) - [c28]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Biologically inspired embodied evolution of survival. Congress on Evolutionary Computation 2005: 2210-2216 - [c27]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning CPG-based biped locomotion with a policy gradient method. Humanoids 2005: 208-213 - [c26]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 - 2004
- [j16]Masa-aki Sato, Taku Yoshioka, Shigeki Kajihara, Keisuke Toyama
, Naokazu Goda
, Kenji Doya
, Mitsuo Kawato:
Hierarchical Bayesian estimation for MEG inverse problem. NeuroImage 23(3): 806-826 (2004) - [j15]Hiroyuki Miyamoto, Jun Morimoto, Kenji Doya
, Mitsuo Kawato:
Reinforcement learning with via-point representation. Neural Networks 17(3): 299-305 (2004) - [c25]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 - [c24]Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii
:
Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) 2004: 720-723 - [c23]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Multi-agent reinforcement learning: using macro actions to learn a mating task. IROS 2004: 3164-3169 - [c22]Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka:
Responding to Modalities with Different Latencies. NIPS 2004: 169-176 - 2003
- [j14]Nicolas Schweighofer
, Kenji Doya
:
Meta-learning in Reinforcement Learning. Neural Networks 16(1): 5-9 (2003) - [j13]Kazuyuki Samejima, Kenji Doya
, Mitsuo Kawato:
Inter-module credit assignment in modular reinforcement learning. Neural Networks 16(7): 985-994 (2003) - [c21]Genci Capi, Kenji Doya:
Evolving recurrent neural controllers for sequential tasks: a parallel implementation. IEEE Congress on Evolutionary Computation 2003: 514-519 - [c20]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. GECCO 2003: 507-509 - [c19]Anders Eriksson, Genci Capi, Kenji Doya:
Evolution of meta-parameters in reinforcement learning algorithm. IROS 2003: 412-417 - [c18]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: 701-708 - [c17]Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura:
Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter. NIPS 2003: 1335-1342 - 2002
- [j12]Kenji Doya
, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato:
Multiple Model-Based Reinforcement Learning. Neural Comput. 14(6): 1347-1369 (2002) - [j11]Kenji Doya
, Peter Dayan
, Michael E. Hasselmo
:
Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15(4-6): 475-477 (2002) - [j10]Kenji Doya
:
Metalearning and neuromodulation. Neural Networks 15(4-6): 495-506 (2002) - 2001
- [j9]Shinya Kuroda
, Kenji Yamamoto, Hiroyuki Miyamoto, Kenji Doya
, Mitsuo Kawato:
Statistical characteristics of climbing fiber spikes necessary for efficient cerebellar learning. Biol. Cybern. 84(3): 183-192 (2001) - [j8]Jun Morimoto, Kenji Doya
:
Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. Robotics Auton. Syst. 36(1): 37-51 (2001) - [c16]Raju S. Bapi, Kenji Doya:
Multiple Forward Model Architecture for Sequence Processing. Sequence Learning 2001: 308-320 - 2000
- [j7]Kenji Doya
:
Reinforcement Learning in Continuous Time and Space. Neural Comput. 12(1): 219-245 (2000) - [c15]Yasuo Nagayuki, Shin Ishii, Kenji Doya:
Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. ICMAS 2000: 215-221 - [c14]Jun Morimoto, Kenji Doya:
Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning. ICML 2000: 623-630 - [c13]Jun Morimoto, Kenji Doya:
Robust Reinforcement Learning. NIPS 2000: 1061-1067
1990 – 1999
- 1999
- [j6]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
- [j5]Jun Morimoto, Kenji Doya:
Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories. Adv. Robotics 13(3): 267-268 (1998) - [j4]Hiroyuki Nakahara
, Kenji Doya
:
Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior. Neural Comput. 10(1): 113-132 (1998) - [c12]Raju S. Bapi, Kenji Doya:
A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. ICONIP 1998: 260-263 - [c11]Jun Morimoto, Kenji Doya:
Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories. ICONIP 1998: 850-853 - [c10]Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato:
A Model of the Electrophysiological Properties of the Inferior Olive Neurons. ICONIP 1998: 1525-1528 - [c9]Jun Morimoto, Kenji Doya:
Reinforcement learning of dynamic motor sequence: learning to stand up. IROS 1998: 1721-1726 - 1996
- [c8]Kenji Doya:
Efficient Nonlinear Control with Actor-Tutor Architecture. NIPS 1996: 1012-1018 - 1995
- [c7]Hiroyuki Nakahara, Kenji Doya:
Dynamics of Attention as Near Saddle-Node Bifurcation Behavior. NIPS 1995: 38-44 - [c6]Kenji Doya:
Temporal Difference Learning in Continuous Time and Space. NIPS 1995: 1073-1079 - 1994
- [j3]Kenji Doya
, Allen I. Selverston:
Dimension Reduction of Biological Neuron Models by Artificial Neural Networks. Neural Comput. 6(4): 696-717 (1994) - [c5]Kenji Doya, Terrence J. Sejnowski:
A Novel Reinforcement Model of Birdsong Vocalization Learning. NIPS 1994: 101-108 - 1993
- [c4]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
- [c3]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
- [j2]Kenji Doya, Shuji Yoshizawa:
Neural network model of temporal pattern memory. Syst. Comput. Jpn. 22(9): 61-69 (1991) - [c2]Kenji Doya, Shuji Yoshizawa:
Adaptive Synchronization of Neural and Physical Oscillators. NIPS 1991: 109-116 - 1990
- [c1]Kenji Doya, Shuji Yoshizawa:
Memorizing hierarchical temporal patterns in analog neuron networks. IJCNN 1990: 299-304
1980 – 1989
- 1989
- [j1]Kenji Doya
, Shuji Yoshizawa:
Adaptive neural oscillator using continuous-time back-propagation learning. Neural Networks 2(5): 375-385 (1989)
Coauthor Index
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