Batch Learning for Poker

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Part 1: project profile

Project name

Batch Learning for Poker

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

Website(s)

Project head(s)

M.Restelli - User:MarcelloRestelli

Other Politecnico di Milano people
Students currently working on the project

Rafael Domingues Santos Vilella - User:RafaelVilella

Students who worked on the project in the past
External personnel:

Laboratory work and risk analysis

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