Batch Learning for Poker
MRT: Batch Learning for Poker
|Research Area:||Machine Learning|
|End:||In progresswarning.pngThe date "In progress" was not understood.|
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.
Start date: 2010/03/01
End date: Still in progress
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