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Q-Learning

Towards Data Science

Welcome to my column on reinforcement learning, where I spend some time going over some very interesting concepts revolving around the nature of learning with a computational approach. As with most…

Q-Learning

Towards Data Science

Q-learning is one of the most popular Reinforcement learning algorithms and lends itself much more readily for learning through implementation of toy problems as opposed to scouting through loads of…

Unlocking the Power of the Q-Learning Algorithm

Becoming Human: Artificial Intelligence Magazine

Let’s have a look at deep Q-learning, that is, the algorithm employed in the DeepMind system to play Atari 2600 games at expert human levels. A basic understanding of how Q-learning works is a…

A Beginners Guide to Q-Learning

Towards Data Science

Have you ever blamed or beat at your dog punitively for the wrongful actions once it done? Or have you ever trained a pet and rewarded it for every correct command you asked for? If you are a pet…

Introduction to Q-Learning

Towards Data Science

You start at a given position, the starting state . From any state you can go left, right, up or down or stay in the same place provided you don’t cross the premises of the maze. Each action will…

Q-Learning

Dive intro Deep Learning Book

In the previous section, we discussed the Value Iteration algorithm which requires accessing the complete Markov decision process (MDP), e.g., the transition and reward functions. In this section, we ...

Interactive Q learning

Towards Data Science

While going through the process of understanding Q learning, I was always fascinated by the grid world (the 2D world made of boxes, where agent moves from one box to another and collect rewards)…

AI Anyone Can Understand: Part 7 - Q-Learning

Towards AI

Make sure you check out the rest of the AI Anyone Can Understand Series Continue reading on Towards AI

Intro to Reinforcement Learning: Q-Learning 101

Analytics Vidhya

Q-Learning was first introduced in 1989 by Christopher Watkins as an extension of the dynamic programming paradigm. Q-learning also served as the basis for some of the tremendous achievements of deep…...

Deep Q-Learning

Python in Plain English

Imagine an agent , bold and curious, exploring a vast, uncharted landscape. Every decision it makes holds the potential for reward, but also risk. This is the world of reinforcement learning, where an...

Q-Learning Algorithm: From Explanation to Implementation

Towards Data Science

In my today’s medium post, I will teach you how to implement the Q-Learning algorithm. But before that, I will first explain the idea behind Q-Learning and its limitation. Please be sure to have some…...

Reinforcement Learning Tutorial Part 1: Q-Learning

Towards Data Science

This is the first part of a tutorial series about reinforcement learning. We will start with some theory and then move on to more practical things in the next part. During this series, you will not…