I wrote these notebooks in March 2017 while I took the COMP 767: Reinforcement Learning [5] class by Prof. Doina Precup at McGill, Montréal. I highly recommend you to go through the class notes and ...

In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the ...

This repository contains (some of the) programming exercises from Reinforcement Learning: An Introduction (Second Edition) by Richard S. Sutton and Andrew G. Barto. Each subdirectory in this project ...

Determining an optimal learning rate for training Artificial Neural Networks (ANNs) has remained a challenging task due to the diverse sizes, complexity, and types of data involved.

The Reinforcement Learning Specialization by Martha White and Adam White from Coursera covers a significant part of this book. The course is mostly based on the book "Reinforcement Learning: An ...