How Ai Learned To Play Pokemon Red Through Reinforcement Learning

Peter Whidden, a YouTuber, trained an AI using reinforcement learning to play the popular video game Pokemon Red. After five years of simulated game time and over 20,000 games played, the AI learned how to navigate the game, manipulate RNG, and complete objectives. Whidden documented the AI’s journey in a 33-minute video and the AI code is available on GitHub. This experiment highlights the remarkable advancements in AI technology and its potential to excel in various fields.