Reinforcement learning (RL) is a branch of machine learning in which an agent learns to make sequences of decisions by interacting with an environment and maximising cumulative rewards. Unlike ...

Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of acquiring new skills or adjusting behaviors in response to positive outcomes ...

AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, ...

Many AI systems answer questions in a matter of seconds—and, in the process, often prevent people from doing exactly what ...

This work presents an AI-based world model framework that simulates atomic-level reconstructions in catalyst surfaces under dynamic conditions. Focusing on AgPd nanoalloys, it leverages Dreamer-style ...

Pitolisant, a histamine H3 receptor inverse agonist, improved recognition memory, working memory performance, and ...