# Pong-v0

Maximize your score in the Atari 2600 game Pong. In this environment, the observation is an RGB image of the screen, which is an array of shape (210, 160, 3) Each action is repeatedly performed for a duration of $$k$$ frames, where $$k$$ is uniformly sampled from $$\{2, 3, 4\}$$.

The game is simulated through the Arcade Learning Environment [ALE], which uses the Stella [Stella] Atari emulator.

 [ALE] MG Bellemare, Y Naddaf, J Veness, and M Bowling. "The arcade learning environment: An evaluation platform for general agents." Journal of Artificial Intelligence Research (2012). https://github.com/mgbellemare/Arcade-Learning-Environment
 [Stella] Stella: A Multi-Platform Atari 2600 VCS emulator https://stella-emu.github.io/
RandomAgent on Pong-v0