Presentation 2002/12/6
A Driver Model based on Reinforcement Learning Switching Multiple Controllers
Atsushi ORITA, Yasuharu KOIKE,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a reinforcement learning architecture which switches multiple controllers and outputs continuous control commands. We used Q-learning for switching the controllers and Actor-Critic for controlling commands. This architecture was applied to a car following task in which speed and headway distance were controlled. The task includes the problem that which pedal and how much the following car step on. From simulation results, we confirmed that it could aquire the control method to achive the task. And we compared our model with one Actor-Critic model about the ability of the car following task. We also showed that the control method had the similar driving characteristic to drivers' one.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Reinforcement learning / Speed and headway distance control / Driver model
Paper # NC2002-100
Date of Issue

Conference Information
Committee NC
Conference Date 2002/12/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Driver Model based on Reinforcement Learning Switching Multiple Controllers
Sub Title (in English)
Keyword(1) Reinforcement learning
Keyword(2) Speed and headway distance control
Keyword(3) Driver model
1st Author's Name Atsushi ORITA
1st Author's Affiliation Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Yasuharu KOIKE
2nd Author's Affiliation JST PRESTO:Precision and Intelligence Laboratory, Tokyo Institute of Technology
Date 2002/12/6
Paper # NC2002-100
Volume (vol) vol.102
Number (no) 508
Page pp.pp.-
#Pages 6
Date of Issue