This repository contains my solutions to the assignments for Berkeley CS 285: Deep Reinforcement Learning, Decision Making, and Control.

Based on my interest in RL, I have chosen to self study this course as it appears to be the most comprehensive course on Deep RL available.

So far assignments 1-3 have been completed, covering the following topics/algorithms:

• Imitation learning
• Policy Gradient methods, including use of baselines
• Actor-Critic methods
• Deep Q-learning and Double Deep Q-learning