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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.

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In a Nutshell, RL Poker...

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Languages

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Java
79%
XML
21%

30 Day Summary

Feb 6 2017 — Mar 8 2017

12 Month Summary

Mar 8 2016 — Mar 8 2017

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