K. Miyazaki

发表

Reinforcement Learning in POMDPs with Function Approximation

Shigenobu Kobayashi, Kazuteru Miyazaki, Hajime Kimura, 1997, ICML.

A Survey on Learning for Agents ( "Foundations and Applications of Agents")

Shigenobu Kobayashi, Kazuteru Miyazaki, Masayuki Yamamura, 1995 .

Reinforcement Learning for Penalty Avoidance in Continuous State Spaces

Shigenobu Kobayashi, Kazuteru Miyazaki, Shigenobu Kobayashi, 2007, J. Adv. Comput. Intell. Intell. Informatics.

Reinforcement learning for penalty avoiding policy making

Shigenobu Kobayashi, Kazuteru Miyazaki, Shigenobu Kobayashi, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Rationality of Reward Sharing in Multi-agent Reinforcement Learning

Shigenobu Kobayashi, Kazuteru Miyazaki, Shigenobu Kobayashi, 1999, PRIMA.

Proposed Decision-Making System Based on Consciousness in Multiple Rewards and Penalties Environments

Kazuteru Miyazaki, K. Miyazaki, 2015 .

Proposal and Evaluation of the Improved Penalty Avoiding Rational Policy Making Algorithm

K. Miyazaki, T. Namatame, Hiroaki Kobayashi, 2009 .

Classification of Medical Data using Character-level CNN

Kazuteru Miyazaki, K. Miyazaki, 2020, ICISS.

A study on the practical use of course classification support system in degree-awarding of NIAD-UE

Kazuteru Miyazaki, Masaaki Ida, K. Miyazaki, 2014, 2014 Proceedings of the SICE Annual Conference (SICE).

Development of the active course classification support system with a learning mechanism

Kazuteru Miyazaki, Masaaki Ida, Fuyuki Yoshikane, 2009, 2009 ICCAS-SICE.

A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning

Kazuteru Miyazaki, Taku Harada, Naoki Kodama, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

The Necessity of a Secondary System in Machine Consciousness

Kazuteru Miyazaki, Jun'ichi Takeno, K. Miyazaki, 2014, BICA.

Proposal of the Active Course Classification Support System to support the Classification of Courses at the Degree-Awarding of NIAD-UE

Hajime Kita, Kazuteru Miyazaki, Takayuki Nozawa, 2005 .

Syllabus Database System and its Application to Comparative Analysis of Curricula

Hajime Kita, Kazuteru Miyazaki, Takayuki Nozawa, 2005 .

k-Certainty Exploration Method: An Action Selector to Identify the Environment in Reinforcement Learning

Shigenobu Kobayashi, Kazuteru Miyazaki, Masayuki Yamamura, 1997, Artif. Intell..

l-Certainty Exploration Method: An Action Selector to Identify the Environment by an Agent : An Extension of k-Certainty Exploration Method to Stochastic MDPs

Shigenobu Kobayashi, K. Miyazaki, M. Yamamura, 1996 .

On the rationality of profit sharing in multi-agent reinforcement learning

Shigenobu Kobayashi, K. Miyazaki, Shigenobu Kobayashi, 2001, Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001.

Reinforcement Learning in 2-players Games

Shigenobu Kobayashi, K. Miyazaki, S. Tsuboi, 2004 .

Reinforcement Learning for Penalty Avoiding Rational Policy Making

Shigenobu Kobayashi, Kazuteru Miyazaki, Sougo Tsuboi, 2001 .

Reinforcement Learning for Crawling on a Robot Arm

Shigenobu Kobayashi, Kazuteru Miyazaki, Hajime Kimura, 1997 .

Multi-agent reinforcement learning for crane control problem: designing rewards for conflict resolution

Sachiyo Arai, Shigenobu Kobayashi, Kazuteru Miyazaki, 1999, Proceedings. Fourth International Symposium on Autonomous Decentralized Systems. - Integration of Heterogeneous Systems -.

Exploitation-Oriented Learning XoL: A New Approach to Machine Learning Based on Trial-and-Error Searches

Kazuteru Miyazaki, K. Miyazaki, 2011 .

Exploitation-Oriented Learning PS-r#

Shigenobu Kobayashi, Kazuteru Miyazaki, K. Miyazaki, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Proposal for an algorithm to improve a rational policy in POMDPs

Shigenobu Kobayashi, K. Miyazaki, K. Miyazaki, 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

Proposal and Evaluation of the Active Course Classification Support System with Exploitation-Oriented Learning

Kazuteru Miyazaki, Masaaki Ida, K. Miyazaki, 2011, EWRL.

Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences

K. Miyazaki, Naoki Kodama, Taku Harada, 2022, IEEE Access.

A Study of an Indirect Reward on Multi-agent Environments

Kazuteru Miyazaki, K. Miyazaki, 2016, BICA.

Rationality of reward sharing in multi-agent reinforcement learning

Shigenobu Kobayashi, Kazuteru Miyazaki, K. Miyazaki, 1999, New Generation Computing.

Proposal of the Continuous-Valued Penalty Avoiding Rational Policy Making Algorithm

Kazuteru Miyazaki, K. Miyazaki, 2012, J. Adv. Comput. Intell. Intell. Informatics.

Home Energy Management Algorithm Based on Deep Reinforcement Learning Using Multistep Prediction

Kazuteru Miyazaki, Taku Harada, Naoki Kodama, 2021, IEEE Access.

Editorial: Cutting Edge of Reinforcement Learning and its Hybrid Methods

Kazuteru Miyazaki, Keiki Takadama, K. Miyazaki, 2017, J. Adv. Comput. Intell. Intell. Informatics.

Construction of consistency judgment system of diploma policy and curriculum policy using character‐level CNN

Kazuteru Miyazaki, Masaaki Ida, K. Miyazaki, 2019 .