GitHub6y
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
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 ...
GitHub6y
Reinforcement Learning: An Introduction
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 ...
Scientific Research Publishing22d
Sutton, R.S. and Barto, A.G. (2018) Reinforcement Learning: An Introduction. 2nd Edition, MIT Press.
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.
Imperial College London5y
Learning materials
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.
IEEE11mon
Reinforcement Learning: An Introduction
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 ...