Batch Learning for Poker

From AIRWiki
Revision as of 13:22, 15 May 2010 by RafaelVilella (Talk | contribs)

Jump to: navigation, search
MRT: Batch Learning for Poker
Coordinator: MarcelloRestelli (restelli@elet.polimi.it)
Tutor:
Collaborator:
Students: RafaelVilella (rafaelcarioca51@gmail.com)
Research Area: Machine Learning
Research Topic:
Start: 2010/03/01
End: 1970/01/01
Status: Active
Type: Thesis

Project short description

This project is aimed at determination an efficient policy to play Poker Limit Hold`em Heads up. Subdivided in three major areas: 1- Analysis of rules of poker and player strategies. 2- Feature Extraction: Given the fact that number of possible states are quite large (10E14). A FS approach is necessary. 3- Fitted Q-Iteration to determinate the policy using Extremely Randomized Trees.

Dates

Start date: 2010/03/01

End date: Still in progress

Project head(s)

M.Restelli - User:MarcelloRestelli

Students currently working on the project

Rafael Domingues Santos Vilella - User:RafaelVilella

Laboratory work and risk analysis

This project is related to software developing so there are no dangerous activities