Difference between revisions of "Batch Learning for Poker"

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(New page: ' == '''Part 1: project profile''' == === Project name === Batch Learning for Poker === Project short description === This project is aimed at determination an efficient policy to play...)
 
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{{Project
== '''Part 1: project profile''' ==
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|title=MRT: Batch Learning for Poker
 
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|coordinator=MarcelloRestelli
=== Project name ===
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|students=RafaelVilella
 
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|resarea=Machine Learning
Batch Learning for Poker
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|start=2010/03/01
 
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|end=1970/01/01
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|status=Closed
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|type=Thesis
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}}
 
=== Project short description ===
 
=== Project short description ===
  
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End date: Still in progress
 
End date: Still in progress
 
=== Website(s) ===
 
 
  
 
===== Project head(s) =====
 
===== Project head(s) =====
  
M.Restelli - [[User:MarcelloRestelli]]
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[[User:MarcelloRestelli|M.Restelli]]
 
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===== Other Politecnico di Milano people =====
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===== Students currently working on the project =====
 
===== Students currently working on the project =====
  
Rafael Domingues Santos Vilella - [[User:RafaelVilella]]
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[[User:RafaelVilella|Rafael Domingues Santos Vilella]]
 
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===== Students who worked on the project in the past =====
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===== External personnel: =====
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=== Laboratory work and risk analysis ===
 
=== Laboratory work and risk analysis ===
  
 
This project is related to software developing so there are no dangerous activities
 
This project is related to software developing so there are no dangerous activities

Latest revision as of 23:49, 8 October 2012

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: Closed
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

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