Interactive Learning (Reinforcement Learning) Course Projects

This repository contains my Interactive Learning (Reinforcement Learning) course projects at University of Tehran.

1. HW1 : Familiarize with the statistical concepts and beginner tools of Python
2. HW2 : Presenting a Multi-Armed Bandit model for a real-world problem
3. HW3 : Solving the Frozen Lake problem using Policy Iteration and Value Iteration algorithms
4. HW4 : Solving the Taxi-v3 problem using Q-learning, SARSA, n-step Tree Backup, and Monte Carlo algorithms
5. HW5 : Solving the Highway problem using Deep RL algorithms such as Policy Gradient and Deep Q-learning