(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 ...

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 ... for robotics and self-driving vehicles to the development of sophisticated game AI,reinforcement has been used to develop a variety ...

Having machines learn from experience was once considered a dead end. It’s now critical to artificial intelligence, and work in the field has won two men the highest honor in computer science.

Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in ...

Who are they? Richard Sutton and Andrew Barto are pioneers of reinforcement learning, a machine learning technique modern AI models utilize. Sutton is often referred to as the "father of ...

Later, the two, along with others, developed many of the basic algorithmic approaches for RL, leading to their textbook Reinforcement Learning: An Introduction in 1988, which is still a standard ...