Watch the FQI Reinforcement Neural-Bird agent train while listening to my cinematic score. These are challenging times, and I hope these creations of mine can bring a smile to someone’s face. But you might wonder, what exactly is the FQI Bird? Introducing the "Fluffy Q-Learning Iterative Reinforcement Neural-Bird" or FQI Bird for short. This AI agent, which I developed after a brainstorm with my roommate, employs a blend of Reinforcement Learning (RL), Reflex Agent heuristics, Q-learning algorithms, and some Neural models I designed for the Neural component. The FQI Bird enhances the Flappy Bird game by seamlessly extracting game states using wrapper classes. Curious about the technical details? Check out my post about the MetaDecorator that was published on the Python Developers Community! https://lnkd.in/d5-7gxGN Once I’ve confirmed with the original developers, I plan to share the source files on their official Git. Stay tuned! And about "North!"—it’s a music piece I composed long ago, crafted in sheet music for piano using Sibelius, then produced in Apple Logic Pro. With this piece, I aimed to blend Counterpoint techniques with modern voice leading to create a cinematic feel. I’m planning to dive back into music soon, but first, I’m on the lookout for a Junior Developer role in C, C++, and Python. Know someone hiring? Let’s connect! Meanwhile, enjoy my earlier compositions on SoundCloud: https://lnkd.in/dpbfUDYk #AI #music #creativity Published on LinkedIn on April 14, 2024