GP-RARS: Evolving controllers for the Robot Auto Racing Simulator

Yehonatan Shichel; Moshe Sipper

doi:10.1007/s12293-011-0056-9

GP-RARS: Evolving controllers for the Robot Auto Racing Simulator

Yehonatan Shichel, Moshe Sipper

Department of Computer Science

Ben-Gurion University of the Negev

Research output: Contribution to journal › Article › peer-review

Abstract

We use evolutionary computation techniques to create real-time reactive controllers for a race-car simulation game: RARS (Robot Auto Racing Simulator). Using genetic programming to evolve driver controllers, we create highly generalized game-playing agents, able to outperform most human-crafted controllers and all machine-designed ones on a variety of game tracks.

Original language	American English
Pages (from-to)	89-99
Number of pages	11
Journal	Memetic Computing
Volume	3
Issue number	2
DOIs	https://doi.org/10.1007/s12293-011-0056-9
State	Published - 1 Jul 2011

Keywords

Games
Genetic programming
RARS

All Science Journal Classification (ASJC) codes

Control and Optimization
General Computer Science

Access to Document

10.1007/s12293-011-0056-9

Cite this

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title = "GP-RARS: Evolving controllers for the Robot Auto Racing Simulator",

abstract = "We use evolutionary computation techniques to create real-time reactive controllers for a race-car simulation game: RARS (Robot Auto Racing Simulator). Using genetic programming to evolve driver controllers, we create highly generalized game-playing agents, able to outperform most human-crafted controllers and all machine-designed ones on a variety of game tracks.",

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GP-RARS: Evolving controllers for the Robot Auto Racing Simulator

Abstract

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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