JP/EN

Syllabus

SubjectSEMINAR B (1)

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
05631
Subject Sort
A1102
Title
SEMINAR B
Field
Research Seminars
Unit
2 Unit
Year/Semester
2023 Fall
K-Number
FPE-CO-05003-311-60
Research Seminar Theme

Introduction to Reinforcement Learning Theory for IT Engineers

Year/Semester
2023 Fall
Day of Week・Period
Thu 4th
Lecturer Name
Takashi Hattori
Class Format
Face-to-face
Language
Japanese
Location
SFC
Class Style
＊Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Seminar
GIGA Certificate
Not applied
Research Seminar / Project Theme planned for next semester

Detail

Course Summary

Anyone can carry out machine learning as long as they have data, thanks to various tools and libraries provided in recent several years. However, you cannot properly use the outputs of programs without knowing their meaning. It is necessary to understand the algorithms and theoretical bases of how the results were derived.
In this seminar, we are going to have a reading society of the book "Introduction to Reinforcement Learning Theory for IT Engineers" to study about theoretical bases of policy iteration, value iteration, Monte Carlo method, DQN, etc.