Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it ...

Students will be expected to be proficient programmers. Reinforcement Learning: An Introduction. By Richard S. Sutton and Andrew G. Barto. MIT Press, Cambridge, MA, 1998. Note that the book is ...

Ensuring the security of network systems and infrastructure is a critical aspect of cybersecurity. Penetration testing ...

This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of ...

Learning from interaction is a foundational idea underlying nearly all theories of learning and intelligence." "Reinforcement learning is learning what to do---how to map situations to actions---so as ...

The course is mostly based on the book "Reinforcement Learning: An Introduction" by Sutton and Barto, making it a more interactive way to go through the book if that suits your learning style.

Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects ...

This repository contains my answers to exercises and programming problems from the Reinforcement Learning: An Introduction. I'm not sure if it's a good idea to make the solutions public because ...

This project contains almost all the programmable figures in the book. However, when I completed this project, the book is still in draft and some chapters are still incomplete. Furthermore, due to ...