S. Ishii

Shin Ishii, Masa-aki Sato, Wako Yoshida, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

-Opt Neural Approaches to Quadratic Assignment Problems

Shin Ishii, Hirotaka Niitsuma, S. Ishii, 2000, Neural Computation.

Eliminating Spurious Memories in a Network of Chaotic Elements

Shin Ishii, S. Ishii, 1997, J. Intell. Fuzzy Syst..

Associative memory based on parametrically coupled chaotic elements

Masa-aki Sato, S. Ishii, 1998 .

Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs

Shin Ishii, Ken-ichi Amemori, S. Ishii, 2001, Neural Computation.

Associative memory using spatiotemporal chaos

Kenji Fukumizu, Shin Ishii, Sumio Watanabe, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Reinforcement Learning of Stable Trajectory for Quasi-Passive Dynamic Walking of an Unstable Biped Robot

Yutaka Nakamura, Tomohiro Shibata, Yutaka Nakamura, 2007 .

Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic

Shin Ishii, Yutaka Nakamura, Koh Hosoda, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Off-Policy Natural Actor-Critic

S. Ishii, Takeshi Mori, Yutaka Nakamura, 2005 .

Boosting perceptual learning by fake feedback

Mitsuo Kawato, Kazuhisa Shibata, M. Kawato, 2009, Vision Research.

A model of emergence of reward expectancy neurons using reinforcement learning and neural network

S. Ishii, M. Shidara, K. Shibata, 2004 .

Effect of the Synaptic Time Constant on Stochastic Spiking Neurons

S. Ishii, K. Amemori, 2007 .

Prediction of aperiodic target sequences by saccades

S. Ishii, T. Shibata, M. Shikauchi, 2008, Behavioural Brain Research.

Learning of Qusasi-Passive Dynamic Walking by a Stochastic Policy Gradient Method

Shin Ishii, Yutaka Nakamura, Kentarou Hitomi, 2005 .

Boosting perceptual learning by feedback manipulation

Mitsuo Kawato, Shin Ishii, Kazuhisa Shibata, 2010 .

Reinforcement Learning for Rhythmic Movements Using a Neural Oscillator Network

Shin Ishii, Masa-aki Sato, Yutaka Nakamura, 2004 .

Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors

Shin Ishii, Junichiro Hirayama, Junichiro Yoshimoto, 2006, Neurocomputing.

A Continuous Internal-State Controller for Partially Observable Markov Decision Processes

Shin Ishii, Takeshi Mori, Yuki Taniguchi, 2008, ICANN.

Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System

Shin Ishii, Takeshi Mori, Yuki Taniguchi, 2007, ICANN.

A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game

Shin Ishii, Tatsuya Yamazaki, Jun Matsuda, 2005, Machine Learning.

A reinforcement learning scheme for a multi-agent card game

Shin Ishii, Hajime Fujita, Yoichiro Matsuno, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

A multiagent reinforcement learning method based on the model inference of the other agents

Shin Ishii, Tatsuya Yamazaki, Jun Matsuda, 2002, Systems and Computers in Japan.

System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003, ICANN.

Bayesian representation learning in the cortex regulated by acetylcholine

Shin Ishii, Junichiro Hirayama, Junichiro Yoshimoto, 2004, Neural Networks.

Reconstruction of chaotic dynamics by on-line EM algorithm

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 2001, Neural Networks.

Deterministic Annealing and Chaotic Annealing in a Neural Approach to Quadratic Assignment Problem

S. Ishii, 2007 .

Self-organization of delay lines by spike-time-dependent learning

Shin Ishii, Ken-ichi Amemori, S. Ishii, 2004, Neurocomputing.

Part 4: Reinforcement learning: Machine learning and natural learning

Shin Ishii, Wako Yoshida, S. Ishii, 2006, New Generation Computing.

A model-based reinforcement learning: a computational model and an fMRI study

Shin Ishii, Wako Yoshida, S. Ishii, 2003, ESANN.

Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments

Shin Ishii, Yutaka Nakamura, Hajime Fujita, 2006, ICANN.

Model-based reinforcement learning for a multi-player card game with partial observability

Shin Ishii, Hajime Fujita, S. Ishii, 2005, IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

Constrained neural approaches to quadratic assignment problems

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 1998, Neural Networks.

Hierarchical Rule Switching in Prefrontal Cortex

Shin Ishii, Wako Yoshida, Hidefumi Funakoshi, 2022 .

A model to explain the emergence of reward expectancy neurons using reinforcement learning and neural network

Katsunari Shibata, Shinya Ishii, Munetaka Shidara, 2006, Neurocomputing.

Chaotic Potts Spin Model for Combinatorial Optimization Problems

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 1997, Neural Networks.

Chaotic optimization method combined with coordinate transformation

Shin Ishii, Minoru Ito, Hirotaka Niitsuma, 2001 .

Chaotic Potts spin

Shin Ishii, S. Ishii, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Hierarchical Model Selection for NGnet Based on Variational Bayes Inference

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2002, ICANN.

A State-Space Modeling Approach for Localization of Focal Current Sources From MEG

Shin Ishii, Masa-aki Sato, Mitsuo Kawato, 2012, IEEE Transactions on Biomedical Engineering.

Analog lambda-opt approach to quadratic assignment problem

Shin Ishii, Minoru Ito, Hirotaka Niitsuma, 2000, Systems and Computers in Japan.

Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions

Shin Ishii, Takashi Bando, Tomohiro Shibata, 2007, ICONIP.

Symbolic strings and spatial 1/ f spectra

S. Ishii, M. Osaka, N. Ito, 1999 .

Self-Organization and Association for Fine Spatio-Temporal Spike Sequences

Shin Ishii, Ken-ichi Amemori, S. Ishii, 2000 .

Acrobot control by learning the switching of multiple controllers

Junichiro Yoshimoto, Shin Ishii, Yoichi Tokita, 2005, Artificial Life and Robotics.

Incremental State Aggregation for Value Function Estimation in Reinforcement Learning

Shin Ishii, Takeshi Mori, S. Ishii, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Multiagent reinforcement learning applied to a chase problem in a continuous world

Shin Ishii, Hiroki Tamakoshi, S. Ishii, 2001, Artificial Life and Robotics.

Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments

Shin Ishii, Takeshi Mori, Yu Hiei, 2008, ICANN.

Reconstruction of chaotic dynamics and robustness to noise with on-line EM algorithm

S. Ishii, W. Yoshida, W. Yoshida, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

A solving method for MDPs by minimizing variational free energy

J. Yoshimoto, S. Ishii, S. Ishii, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

On-line EM reinforcement learning

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

On-Line EM Reinforcement Learning for Automatic Control of Continuous Dynamical Systems

Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato, 2003 .

Doubly constrained network for combinatorial optimization

Shin Ishii, Masa-aki Sato, Masa-aki Sato, 2002, Neurocomputing.

Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller

Shin Ishii, Yutaka Nakamura, Takeshi Mori, 2005, J. Robotics Mechatronics.

Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot

Shin Ishii, Yutaka Nakamura, Takeshi Mori, 2004, PPSN.

Analog λ‐opt approach to quadratic assignment problem

Shin Ishii, Hirotaka Niitsuma, Minoru Ito, 2000 .

2A1-N-065 Augmenting Robotic Sensory System Utilizing Its User's EMG and Posture Information(Cooperation between Human and Machine 3,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

Shin Ishii, Tomohiro Shibata, Tomohiro Nomura, 2005 .