(RL) is a type of machine learning where a model learns to make decisions by interacting with an environment. Unlike supervised learning, where the model is provided with labeled data, RL involves ...

Their book, “Reinforcement Learning: An Introduction,” which was published in 1998, remains the definitive exploration of an idea that many experts say is only beginning to realize its potential.

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work ...