Application of AI based reinforcement learning to robot vehicle control

M. G.M. Madden, P. J. Nolan

Research output: Contribution to conference (Published)Paperpeer-review

2 Citations (Scopus)

Abstract

Reinforcement learning is a form of artificial intelligence in which an agent acquires and improves skills based on receiving positive and negative rewards when it performs actions within an environment. This paper describes a system which uses an extended reinforcement learning algorithm to generate reactive control strategies. It is applied to the control of a vehicle in a simulated traffic environment.

Original languageEnglish
Pages437-445
Number of pages9
Publication statusPublished - 1995
EventProceedings of the 1995 10th International Conference on Applications of Artificial Intelligence in Engineering, AIENG'95 - Udine, Italy
Duration: 1 Jul 19951 Jul 1995

Conference

ConferenceProceedings of the 1995 10th International Conference on Applications of Artificial Intelligence in Engineering, AIENG'95
CityUdine, Italy
Period1/07/951/07/95

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