In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.

Reinforcement learning in C++ using Eigen, OMP and more

Comparative Evaluation of Non-Conventional Value Function Approximation Methods in Reinforcement Learning

This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.

Reversi game with multiple reinforcement learning algorithms.

Code for my master’s thesis on reinforcement-learning-augmented MILP methods for dynamic vehicle routing under uncertainty.

A research-oriented multi-agent reinforcement learning framework for autonomous air combat decision-making using value approximation, neural policy iteration, and curriculum learning.

Value function approximation RL algorithm in Pacman.

Hands-on implementations of Reinforcement Learning algorithms from scratch, progressing from classical methods to deep RL with practical experiments.