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# projetDetude
# IAtari
Genetic algorithm generating AI capable to play Atari2600 games.
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development or training purposes.
### Prerequisites
In order to use this algorithm you need a compiler that support c++ 14 and the boost library (`apt-get install libboost-all-dev`).
### Installing
Once this git repository is cloned, you need to set the environment variable LD_LIBRARY_PATH.
Writing this line in your .bashrc is a good way to achieve it : `export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/my/path/to/ale/directory`
Compile the algorithm by using `make` in the src subfolder.
## Training agents
Once you have set the value `algoGen` to true in the config file, type `./atari -m` in a terminal to launch the master. Type `./iatari -s` in other terminals to launch slaves.
## Exhib agents
Set `algoGen` to false and `displayScreen` to true in the config file and start the algorithm without arguments.
## Documentation
The documentation is available as a website in the subfolder doc/html.
## Build With
* This algorithm use the Arcade Learning Environment : [ALE repository](https://github.com/mgbellemare/Arcade-Learning-Environment)
* The documentation is build with Doxygen : [Doxygen website](http://www.doxygen.nl)
##License
This project has not been licensed yet.
## Authors
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//ALE settings
romPath=../ale/roms/Frostbite.bin
displayScreen=false
displayScreen=true
enableSound=false
repeatActionProb=0.25
//Value of the color palette : SECAM / PAL / standard
colourPalette=SECAM
//Algo gen
algoGen=true
algoGen=false
freshPop=false
//Launch parameters
nEvalP=1
nEvalS=3
mutRate=0.6
crossRate=0
crossRate=0.6
tournSize=2
popSize=3
nbIter=1
popSize=10
nbIter=5
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