GitHub - loopfz/Lucki: Poker AI agent based on a neural network

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Poker AI agent based on a neural network

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Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
NN_training_1opp_rawstreval_10hands		NN_training_1opp_rawstreval_10hands
NN_training_4opp_heureval_100hands		NN_training_4opp_heureval_100hands
NN_training_7opp_newAI_100hands_34gen		NN_training_7opp_newAI_100hands_34gen
NN_training_7opp_rerun_newFitness_100hands_97gens		NN_training_7opp_rerun_newFitness_100hands_97gens
corpus_doc		corpus_doc
img		img
nbproject		nbproject
src		src
trained_nets		trained_nets
training_data		training_data
.DS_Store		.DS_Store
.gitignore		.gitignore
LICENSE.txt		LICENSE.txt
NN_1st.bin		NN_1st.bin
NN_2nd.bin		NN_2nd.bin
NN_3rd.bin		NN_3rd.bin
NN_4th.bin		NN_4th.bin
README		README
build.xml		build.xml
lucki_run.bat		lucki_run.bat
lucki_run.sh		lucki_run.sh
manifest.mf		manifest.mf

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| Written by Thomas Schaffer <thomas.schaffer@epitech.eu> in Java.             |
| Licensed under the MIT license.                                              |
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| Description                                                                  |
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Lucki is a Poker AI agent that I developed for my MSc dissertation.

It is based on some research by the Poker research group at the University
of Alberta, notably their bots Poki, Loki, etc.
The global architecture of the agent (hand weight tables for the opponents,
and an hand evaluator enumerating potential future draws and applying
those weights) is inspired by their published research and completely
reimplemented from scratch.

This project's contribution was to try and improve on the somewhat limited
Betting Strategy component by experimenting with neural networks trained
by a genetic algorithm.

This contains the agent, along with a complete framework for poker play
and AI agents so that it should be easy to implement other strategies
while benefiting from the existing hand evaluation / profiling components.