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JRM Vol.10 No.5 pp. 413-417
doi: 10.20965/jrm.1998.p0413
(1998)

Paper:

Autonomous Vehicle Navigation Behavior Generation by Reinforcement Learning

Keitaro Naruse* and Yukinori Kakazu* and Ming C. Leu**

*Hokkaido University, Kita-13 Nishi-8, Sapporo 060 Japan

**New Jersey Institute of Technology, Newark, NJ 07102, USA

Received:
April 3, 1998
Accepted:
August 17, 1998
Published:
October 20, 1998
Keywords:
Reinforcement learning, Behavior robotics, Autonomous vehicle navigation, Path planning, Nonholononic vehicle
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.

Cite this article as:
Keitaro Naruse, Yukinori Kakazu, and Ming C. Leu, “Autonomous Vehicle Navigation Behavior Generation by Reinforcement Learning,” J. Robot. Mechatron., Vol.10, No.5, pp. 413-417, 1998.
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Last updated on Mar. 05, 2021