TATEYAMA Takeshi


TATEYAMA Takeshi

J-GLOBAL         Last updated: Jul 10, 2019 at 17:23
 
Avatar
Name
TATEYAMA Takeshi
Affiliation
Tokyo Metropolitan University
Section
Faculty of EngineeringDepartment of Precision Engineering
Degree
(BLANK)

Research Areas

 
 

Education

 
 
 - 
1996
Faculty of Engineering, Tokyo City University
 
 
 - 
1998
Graduate School, Division of Engineering, Tokyo Metropolitan University
 

Awards & Honors

 
Aug 2006
MOVIC2006(The 8th International Conference on Motion and Vibration Control), Invited Paper Award
Winner: KAWATA Seiichi, TATEYAMA Takeshi
 

Published Papers

 
A Scheduling Support System for Large-scale Facilities Using Reinforcement Learning in Consideration of Skill Educations and Working Conditions
T. Tateyama, T. Tateno and S. Kawata
Journal of Advanced Mechanical Design, Systems, and Manufacturing (JAMDSM)   Vol.8(No.5)    2014   [Refereed]
A method for human resource evaluation to realize high-quality PSSs
Y. Shimomura, K. Kimita, T. Tateyama, F. Akasaka and Y. Nemoto
CIRP Annals -Manufacturing Technology   Vol.62(No.1) 471-474   2013   [Refereed]
Process Simulation Method for Product-Service Systems Design
K. Kimita, T. Tateyama and Y. Shimomura
Procedia CIRP   Vol.3 489-494   2012   [Refereed]
Service Process Simulation for Integrated Service Evaluation
K. Watanabe, S. Mikoshiba, T. Tateyama and Y. Shimomura
Journal of Intelligent Manufacturing, Special issue on: Service Computing and Service Oriented Enterprise Systems in Design, Manufacturing and Supply Chain   Vol.23(Issue4) 1379-1388   2011   [Refereed]
Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers' Skill and Training
T. Tateyama, T. Tateno and K. Shimizu
Journal of Advanced Mechanical Design, Systems, and Manufacturing (Special issue on Advanced Production Scheduling)   Vol.4(No.3) 597-604   2010   [Refereed]

Misc

 
Extended K-certainty exploration methods for autonomous robotics systems
Proceedings of the 37th SICE Annual Conference Domestic Session Papers Vol. (]G0002[)   ((]G0002[)) 629-630   1998
An Efficient Exploration Method Using K-Certainty Exploration Method and Dynamic Programming under Markov Decision Processes
16(1) 20-27   2001
An Improved Reinforcement Learning by Using The Concept Learning for Continuous State and Action.
   2001
An Improved Reinforcement Learning by Using The Concept Learning
79-84   2001

Research Grants & Projects

 
Study on Machine Learning, Reinforcement Learning