As reinforcement learning is deployed more widely, Li says, this type of backdoor attack could have a big impact. Li points out that reinforcement-learning algorithms are typically used to control ...

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

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 ...

One of the most interesting AI trends is the convergence of reinforcement learning with supervised and unsupervised learning in more advanced applications.

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 ...

Unlike supervised learning, reinforcement learning algorithms must observe, and that can take time, said UC Berkeley professor Ion Stoica at Transform.

Reinforcement-learning algorithms mesh well with most games, because they tweak their behavior in response to positive feedback—the score going up.

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently ...