A New Approach in Agent Path-Finding using State Mark Gradients

A New Approach in Agent Path-Finding using State Mark Gradients

Since searching is one of the most important problem-solving methods, especially in Artificial Intelligence where it is often difficult to devise straightforward solutions, it has been given continuous attention by researchers. In this paper a new algorithm for agent path-finding is presented. Our a...

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Bibliographic Details
Main Authors: Florin Leon, Mihai Horia Zaharia, Dan Galea
Format: Article
Language:English
Published: Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova 2005-01-01
Series:Computer Science Journal of Moldova
Subjects:
Artificial intelligence
path-finding
maze
reinforcement learning
Q-learning
LRTA*
agents
Online Access:http://www.math.md/files/csjm/v12-n3/v12-n3-(pp406-423).pdf

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