RL Poker

I Use This!

Inactive

Analyzed 2 days ago. based on code collected 3 days ago.

Project Summary

RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.

In a Nutshell, RL Poker...

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has had 42 commits made by 4 contributors
representing 453 lines of code
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is mostly written in XML
with a very well-commented source code
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has a codebase with a very short history
maintained by nobody
with stable Y-O-Y commits
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took an estimated 1 years of effort (COCOMO model)
starting with its first commit in March, 2007
ending with its most recent commit about 18 years ago

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This Project has No vulnerabilities Reported Against it

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