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 ...

WASHINGTON, DC – The U.S. Department of Justice has charged Indian chemical manufacturer Vasudha Pharma Chem Limited (VPC) and three of its executives for allegedly importing precursor chemicals ...

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.

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 ...

Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States ...

State Key Laboratory of Microbial metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, National Experimental ...