Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

How fake admiral was caught out by massive sword and rare medal Science says marry the right person and you’ll be more successful, except for 1 (very personal) catch I asked 3 restaurant pros to name ...

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Every year, companies and space agencies launch ...

This research presents a comprehensive framework for constructing and applying student portraits in personalized education through advanced data analytics and knowledge graph technology. The study ...

Lifelong learning starts early, and Osher Lifelong Learning Institute (OLLI) at University of Nevada, Reno is teaming up with the Terry Lee Wells Nevada Discovery Museum (best known as The Discovery) ...

Abstract: The sparse reward problem widely exists in multi-agent deep reinforcement learning, preventing agents from learning optimal actions and resulting in inefficient interactions with the ...

WORLD. OUR ERIKA TARANTAL TAKES US THERE. WHERE EVEN ON A COLD AND WINDY DAY, THESE KIDS ARE EXCITED TO BE OUT ADVENTURING, MOUNTING, MOUNTING, EXPLORING IS THE WHOLE POINT OF YOUTH OPPORTUNITIES.

As a true milestone on the path to autonomous space systems, a research team at Julius-Maximilians-Universität Würzburg (JMU) has successfully tested an AI-based attitude controller for satellites ...