ALE 2016

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The Arcade Learning Environment (ALE) is a simple object-oriented framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games. It is built on top of the Atari 2600 emulator Stella and separates the details of emulation from agent design. This video depicts over 50 games currently supported in the ALE. ¹

Installed version

The currently installed version is available on environment hpc-env/6.4:


Using ALE

To load the desired version of the module, use the command, e.g.

module load hpc-env 6.4
module load ALE

Always remember: this command is case sensitive!

After loading ALE, you can get an overview about the options and arguments of ALE by typing

ale -help


For more information about the goals of ALE, you can read the paper which is published here. For more Information in general you can visit the GitHub page