Difference between revisions of "Exploit of betting patterns using genetic algorithms and reinforcement learning"
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Latest revision as of 17:04, 29 March 2010
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Contents
Part 1: project profile
Project name
Exploit of betting patterns using genetic algorithms and reinforcement learning.
Project short description
This project is aimed at designing a software bot capable of exploiting good,profitable betting strategies. Given a generic sport event, bookmakers give different winning quotes based on their anticipation of the event's outcome. The use of genetic algorithms should provide some kind of set of profitable betting rules, referred to each agency, while reinforcement learning should provide an efficient bankroll management.
Dates
Start date: 2009/11/10
End date: 2010/06/30
Website(s)
Project head(s)
M.Restelli - User:MarcelloRestelli
Other Politecnico di Milano people
Students currently working on the project
Michele Festini - User:MicheleFestini
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