Tutorial on Reinforcement Learning, Q-Learning, and Deep Q-Learning in Python

Overview

A comprehensive tutorial on Reinforcement Learning (RL), focusing on Q-Learning and Deep Q-Learning (DQN). The tutorial includes Python implementations of these algorithms, with PyTorch used for the DQN implementation. The tutorial on PDF format is provided to understand the concepts and code.

Features

• Q-Learning: Implementation of the classic Q-Learning algorithm for reinforcement learning.
• Deep Q-Learning (DQN): Implementation of DQN using PyTorch for approximating Q-values with neural networks.
• Tutorial Paper: A PDF document explaining the concepts, algorithms, and code in detail.

Prerequisites

• Python: Python 3.x installed on your system.
• PyTorch: PyTorch library for deep learning tasks.
• Other Python Packages: Install required packages listed in requirements.txt: pip install -r requirements.txt