Intro to Q-learning in RL

Resource history | v1 (current) | created by janarez on May 14, 2021

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see v1 | created by janarez on May 14, 2021 | Add topic "Q-learning"

Title: Intro to Q-learning in RL
Type: Interactive
Created: 2021-04-30
Description: In this tutorial, we aim to provide readers with a high-level overview of the fundamentals of RL as well as example code in Python, introducing the OpenAI Gym library. We begin with building intuitions about what is considered an RL problem and we introduce formal definitions as well as key terminologies that are used to describe and model an RL application. In parallel, we will focus on solving a concrete example of an RL problem (CartPole) using a classic RL algorithm called Q-learning.
Link: https://deepnote.com/@ken-e7bd/Intro-to-Q-learning-in-RL-4R450s6_RVKJIC2xiqs71g
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v1 | attached by janarez on May 14, 2021 | Add topic "Q-learning"

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