Reinforcement Learning [Part 2]: The Q-learning Algorithmby@paulescu
4,583 reads
4,583 reads

Reinforcement Learning [Part 2]: The Q-learning Algorithm

by Pau Labarta Bajo24mMarch 28th, 2022
Read on Terminal Reader
Read this story w/o Javascript
tldt arrow

Too Long; Didn't Read

This is part 2 of my hands-on course on reinforcement learning, which takes you from zero to HERO. Today we will learn about Q-learning, a classic RL algorithm born in the 90s. We will use an environment from OpenAI Gym, called the `Taxi-v3` environment. The taxi drives to a random location, picks up the passenger, drives to the passenger’s destination (another one of the four specified locations), and then drops off the passenger.

Company Mentioned

Mention Thumbnail

Coin Mentioned

Mention Thumbnail
featured image - Reinforcement Learning [Part 2]: The Q-learning Algorithm
Pau Labarta Bajo HackerNoon profile picture
Pau Labarta Bajo

Pau Labarta Bajo

@paulescu

ML freelancer and online instructor

About @paulescu
LEARN MORE ABOUT @PAULESCU'S
EXPERTISE AND PLACE ON THE INTERNET.
L O A D I N G
. . . comments & more!

About Author

Pau Labarta Bajo HackerNoon profile picture
Pau Labarta Bajo@paulescu
ML freelancer and online instructor

TOPICS

THIS ARTICLE WAS FEATURED IN...

Permanent on Arweave
Read on Terminal Reader
Read this story in a terminal
 Terminal
Read this story w/o Javascript
Read this story w/o Javascript
 Lite