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Explore I Trained an AI to Play Balatro Using Reinforcement Learning with 99,225 views, 3,054 likes, and 290 comments. Experience the impact of this video content that has captured audience attention.

In this video, I learned Reinforcement Learning by training an AI play Balatro. I used lovely-injector to help modify the game and used Stable-Baslines3 to help me train the agent. If you're curious about how reinforcement learning works, then this is a good video to learn because I don't just show the results but instead I describe how reinforcement learning works from beginning to end. This is not an expert deep dive into reinforcement learning, but this can be a decent/fun introduction video Hope you enjoy! Resources: Github Repo - https://github.com/angelvalentin80/balatro-rl What is Proximal Policy Optimization - https://www.youtube.com/watch?v=5P7I-xPq8u8 lovely-injector - https://github.com/ethangreen-dev/lovely-injector Stable-Baslines3 (SB3) docs - https://stable-baselines3.readthedocs.io/en/master/ Credits: https://www.youtube.com/watch?v=xAXvfVTgqr0 https://www.youtube.com/watch?v=kQ2bqz3HPJE https://www.youtube.com/watch?v=dp8RgqcENXs Chapters: 0:00 Introduction 0:11 Disclaimers 0:35 What is Reinforcement Learning 1:32 Going over system 13:59 Training Results 16:53 The AI's best game

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