Autonomous Vehicle Navigation Behavior Generation by Reinforcement Learning

Document Type

Article

Publication Date

10-1-1998

Abstract

This paper presents an efficient reinforcement learning algorithm for autonomous vehicle navigation. Efficiency is achieved by identifying the structure of a given problem, and it is represented as a set of behaviors — efficient action sequences for solving the problem. Computational simulations are conducted and the proposed mechanism demonstrate.

Identifier

85166370201 (Scopus)

Publication Title

Journal of Robotics and Mechatronics

External Full Text Location

https://doi.org/10.20965/jrm.1998.p0413

e-ISSN

18838049

ISSN

09153942

First Page

413

Last Page

417

Issue

5

Volume

10

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