Arcade-Learning-Environment¶
The Arcade Learning Environment (ALE) is a simple 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.
homepage: https://github.com/mgbellemare/Arcade-Learning-Environment
| version | toolchain |
|---|---|
0.7.3 |
foss/2021b |
0.8.1 |
foss/2022a |
0.8.1 |
foss/2023a |
(quick links: (all) - 0 - a - b - c - d - e - f - g - h - i - j - k - l - m - n - o - p - q - r - s - t - u - v - w - x - y - z)