Player modeling in TORCS exploiting SVMs and GPUs parallelism
Contents
Part 1: Project profile
Project name
Player modeling in TORCS exploiting SVMs and GPUs parallelism
Project short description
This project is aimed at building a TORCS' driving agent, using SVMs (Support Vector Machines) as the main Machine Learning algorithm. This agent (also called Bot) must be able to drive versus other agents, with comparable or better performances. To fulfill this achievement, and to be able to train SVMs in feasible time, this work will initially focuses on using the CUDA architecture to rewrite and optimize a well-known SVM Toolkit, LibSVM.
Dates
Start date: ~2008/03/01
End date: ~2009/03/01
Website(s)
People involved
Project head(s)
P. L. Lanzi - User:PierLucaLanzi
D. Loiacono - User:DanieleLoiacono
Other Politecnico di Milano people
None.
Students currently working on the project
Fabrizio Bonfanti - User:FabrizioBonfanti
Students who worked on the project in the past
None.
External personnel
None.
Laboratory work and risk analysis
This is meant to be a software project, and all required hardware is used remotely, so no laboratory work is expected. No risks are associated to this project, hopefully.
Part 2: Project description
Work in Progress...
Part 3: Useful links
TORCS - http://torcs.sourceforge.net/
