Welcome to all my fans (0 fans)! I'm passionate about reinforcement learning, AI, and retro gaming. My focus is on making a path between old console and new technologies (especially AI !)
PkmnRLArena aims to create a Reinforcement Learning (RL) environment for Pokémon Emerald using PettingZoo, but the most important part, improve the difficulty of Pokemon Emerald directly inside the GBA with a trained AI. The project involves:
- Building an RL-compatible environment based on Pokémon Emerald gameplay
- Training models to play and optimize strategies for the game
- Running trained models directly on a Game Boy Advance emulator
- Rust: Core emulator and environment logic
- Python: RL agent development, environment integration (PettingZoo)
- C : Low-level
- Makefile, Docker, Assembly, Jupyter Notebook, Jinja: Supporting components for development and experimentation
- Interested in AI, RL, and automation
- Love classic video games and emulation
- Explore the intersection of machine learning and game development
- Also co-founder of PetitMonde
- Explore my repositories for more RL and AI projects
- Feel free to reach out for collaboration or discussion*!
*reserved for stinky developers


