Reinforcement Learning is such an exciting field. Some people would argue that this field is the true "artificial intelligence". This project should provide you with a good foundation for understanding reinforcement learning. We, not only gave our intuitive take on each of the concepts introduced but also provided you with problems that you could do on your own to gain a deeper, hands-on understanding of the concepts discussed. Also, we pointed at several papers to further your knowledge in each of the areas presented. We really hope that this serves you well. Also, remember that if you want to help to make this series better, everything from a typo, to another notebook, or maybe an entire section, you are welcome to open a pull-request and I'll take a look and accept it if it helps with this project's objective. To give an intuitive and hands-on perspective of reinforcement learning and decision-making.