Abstract: Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all ...

A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.

Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...

In 2025, AI agents gained the ability to manipulate the real world — through Skills, MCP servers, and tool use. Claude can now run code, query databases, control browsers, and execute complex ...

A Pellenc mechanical harvester straddles the cherry tree and shakes the fruit loose in one pass, collecting cherries onto a conveyor below — replacing hours of hand-picking with a single automated ...