Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms.

You can read overviews of reinforcement learning, learn the basics, jump into its math and algorithms, review research papers, or discover real-world applications.

What is reinforcement learning? There are three kinds of machine learning: unsupervised learning, supervised learning, and reinforcement learning.

Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response ...

In my work as an AI researcher, I use reinforcement learning to create AI algorithms that learn how to solve puzzles such as the Rubik’s Cube.

By optimizing reinforcement-learning algorithms, DeepMind uncovered new details about how dopamine helps the brain learn.

The framework is detailed in the survey paper " Survey of recent multi-agent reinforcement learning algorithms utilizing centralized training," which is featured in the SPIE Digital Library.

By contrast, the AlphaGo Zero program recently achieved superhuman performance in the game of Go by reinforcement learning from self-play. In this paper, we generalize this approach into a single ...