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The Machine LEARNS | AI Reinforcement Learning | Can AI Beat Pokemon Red?

23 1________

We beat MISTY!! Join me for a thrilling live development session where we take on the ultimate challenge: building an Artificial Intelligence (AI) capable of beating the classic game Pokémon Red! I'll dive deep into the world of Reinforcement Learning using tools like Python, Pyboy, Stable Baselines, and Pytorch to train our AI to become the very best—like no one ever was.

Throughout this livestream, I'll be coding in real-time, exploring the fundamentals of AI development, and implementing advanced reinforcement learning algorithms to guide our AI through the game. Whether you're new to AI or a seasoned developer, this stream will give you insights into how these technologies work together to solve complex problems.

What I've Done:
1/ Setting up the environment with Pyboy to emulate Pokémon Red.
2/ Implementing Stable Baselines and Pytorch to build our reinforcement learning model.
3/ Made changes to add rewards for seeing and catching new pokemon. Reduced scoring for just moving around and increased rewards for trainer battles.

What to Expect:
I've made it to Veridian Forest before and hopefully this version will make it through the forest. I will be live coding, fine tuning and debugging as we train our AI to battle, catch Pokémon, and conquer the game.

If you're interested in AI, machine learning, or just a fan of Pokémon, this is the stream for you! Follow along as I work to create an AI that can take on the world of Pokémon Red.

Don’t miss this exciting exploration of AI development, and get ready to see if our AI has what it takes to beat one of the most beloved games of all time!

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