Q Learning - Learn Data Science with Travis

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 ...

Q Learning — Deep Reinforcement Learning

Towards AI

Q Learning — Deep Reinforcement Learning Playing Ping Pong Atari Game Table of Contents 1. Problem Statement 2. Value Functions 3. Q Learning 3.a. Theory 3.b. Code 3.c. Problems with Q Learning 4. V ...

Q-learning for beginners

Towards Data Science

Train an AI to solve the Frozen Lake environment Image by author The goal of this article is to teach an AI how to solve the ❄️Frozen Lake environment using reinforcement learning. Instead of reading...

Reinforcement Learning From Scratch: Deep Q-Networks

Towards Data Science

In reinforcement learning (RL), Q-learning is a foundational algorithm that helps an agent navigate its environment by learning a policy to maximize cumulative rewards…

Q-Learning is the most basic form of Reinforcement Learning, which doesn’t take advantage of any…

Analytics Vidhya

Q-Learning is the most basic form of Reinforcement Learning, which doesn’t take advantage of any neural network but instead uses Q-table to find the best possible action to take at a given state. A…

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…...

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)…

Double Q-Learning the Easy Way

Towards Data Science

Update: The best way of learning and practicing Reinforcement Learning is by going to http://rl-lab.com Q-learning (Watkins, 1989) is considered one of the breakthroughs in TD control reinforcement…

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…

Simple Reinforcement Learning: Q-learning

Towards Data Science

One of my favorite algorithms that I learned while taking a reinforcement learning course was q-learning. Probably because it was the easiest for me to understand and code, but also because it seemed…...

Why Going from Implementing Q-learning to Deep Q-learning Can Be Difficult

Towards Data Science

For many people, myself included, Q-learning serves as an introduction to the world of reinforcement learning. It gets us neatly accustomed to the core ideas of states, actions and rewards in a way…

Applied Reinforcement Learning I: Q-Learning

Towards Data Science

Understand the Q-Learning algorithm step by step, as well as the main components of any RL-based system Photo by DeepMind on Unsplash We have all experienced a situation in which we have done somethi...