Welcome to the fascinating field of Reinforcement Learning! ✨ This resource offers a comprehensive collection of literature 📚, lectures & lecture-notes, and both guided and non-guided hands-on projects 🚀 (non-guided projects will be available starting in April). The projects utilize OpenAI Gymnasium and Unity ML-Agents 🎮 and will soon include custom environments.
Repository Structure 📂
literature: features essential reading materials, including key texts such as "Introduction to Reinforcement Learning" by Richard S. Sutton and Andrew G. Barto 📖, alongside practical coding resources like "Deep Reinforcement Learning" from O'Reilly 💻.
hw: contains all homework exercises and projects, complete with their respective instructions for your reference and learning 📝.