GitHub6 年
Reinforcement Learning: An Introduction
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition). The purpose of this project is to help understanding RL algorithms and ...
GitHub3 年
emasquil/reinforcement-learning-book
Bandits (Chapter 2) : The 10 armed Testbed Dynamic Programming (Chapter 4): Gambler's Problem (Ex 4.9) Monte Carlo Methods (Chapter 5): Racetrack (Ex 5.12) TD Learning (Chapter 6): Windy Gridworld (Ex ...
IEEE2 年
An Introduction to Deep Reinforcement Learning
This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement ...
Imperial College London5 年
Learning materials
latest version is from 2018. Complements nicely with online courses. Freely available online. The Reinforcement Learning Specialization by Martha White and Adam White from Coursera covers a ...