Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.

Implementation of various Reinforcement Learning Algorithms

Reinforcement Learning Introduction - Selected Exercise Solutions & Experiment Code

This is a Python implementation of concepts and algorithms described in "Reinforcement Learning: An Introduction" (Sutton and Barto, 2018, 2nd edition).

Q-Learing algorithm solves simple mazes.

Election results in the London Borough of Sutton.

"Learning to Predict by the Methods of Temporal Differences" by Sutton, Richard S. (1988)

Code for the reading group on Sutton & Barto: Reinforcement Learning

Selected algorithms and exercises from the book Sutton, R. S. & Barton, A.: Reinforcement Learning: An Introduction. 2nd Edition, MIT Press, Cambridge, 2018.

Reinforcement Learning

My solutions to Sutton and Barto's book 'Reinforcement Learning: An Introduction'

Reinforcement Learning Course from IPVS

Bandits in Numpy

Train an AI to drive on a simple racetrack, by using reinforcement learning with Q-Learning and Monte Carlo. Inspired by Sutton and Barto's book.

Implementations of RL Algos and solved exercises for Sutton&Barto RLAI

Reinforcement Learning Algorithms implemented based on pseudocode from Sutton and Barto