Download the most recent version of ALE (The Arcade Learning Environment) from http://www.arcadelearningenvironment.org/downloads/.

Extract the download ALE file into a directory, such as /ale.

Install dependencies

sudo apt-get install cmake
sudo apt-get install libsdl1.2-dev

Assuming ALE was extracted to /ale. Then, compile it with CMake.

cd /ale
ale> cmake -DUSE_SDL=ON -DUSE_RLGLUE=OFF -DBUILD_EXAMPLES=ON .
ale> make -j 4

Brain learns from images, i.e. image snapshots, or differences between one image and another.

Images therefore need to be readable by the Brain. Use jpg, png, bmp, own format libraries to do this.

Standardise all images to a standard size to standardise learning. Do we therefore assume X*Y is pre-set for any image. The larger that X and Y is will result in more pixels, so more training / longer training needed to process, but more accurate.

Perhaps different type neurons for different size images with some sort of standardisation comparison between unequal image sizes.

Create a directory for the ROM files.

mkdir /ale/roms

and copy the binary rom files into that directory.

http://www.arcadelearningenvironment.org/

https://www.nervanasys.com/deep-reinforcement-learning-with-neon/