Batch Learning for Poker
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Revision as of 23:49, 8 October 2012 by AndreaBonarini (Talk | contribs)
MRT: Batch Learning for Poker
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| 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: | Closed |
| Type: | Thesis |
Contents
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)
Students currently working on the project
Rafael Domingues Santos Vilella
Laboratory work and risk analysis
This project is related to software developing so there are no dangerous activities
