Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Turing Award recipients Richard Sutton and Andrew Barto believe reinforcement learning will play a role in artificial general ...

Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

Gov. Bob Ferguson signed a bill Monday restricting the sale of a lethal chemical used in dozens of deaths by suicide. Tyler’s Law, named in honor of Tyler Schmidt, a 15-year-old boy from Camas ...

He also discussed the "education" of such machines "by means of rewards and punishments." Turing's ideas ultimately led to the development of reinforcement learning, a branch of artificial ...

It also aims to increase efficiency by ensuring learners do not need to repeat learning unnecessarily. An overview of the policy is also available for learners and for managers. Policy framework for ...

Shining examples like“The Nature of the Chemical Bond” by Linus Pauling and“The Art of Computer Programming” by Donald E. Knuth are memorable because they are few and far between. Sutton and ...