Author: Paolo Ginefra
Student ID: 10765882
Welcome! This repository gathers all the materials for my theoretical project in the course Numerical Analysis for Machine Learning (NAML) at Politecnico di Milano, supervised by Prof. Edie Miglio.
My project explores the fascinating world of Reinforcement Learning (RL), with a special focus on Policy Gradient methods and the celebrated REINFORCE algorithm.
- References:
- Main reference: Sutton & Barto's classic "Reinforcement Learning: An Introduction" (2nd Ed.)" in the
Bookfolder.
- Main reference: Sutton & Barto's classic "Reinforcement Learning: An Introduction" (2nd Ed.)" in the
- 📝 Report:
- Read my detailed findings: Project Report (PDF)
- 🎨 Presentation:
- View my Figma slides: Project Presentation
- 🤖 Demo Code:
- Explore a basic REINFORCE agent: REINFORCE_BasicImplementation.ipynb