Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Abstract: The recent advancement of deep reinforcement learning (DRL) contributed to robotics by allowing automatic controller design. The automatic controller design is a crucial approach for ...

Collaborating with engineers, our humanoid robots collect real-world data from teleoperation for learning to iterate control algorithms. This is one of the many ways we advance our robotics ...

McDonald's announces plans to hire 375,000 workers with Trump Labor secretary Rule of law is ‘endangered,’ chief justice says Artificial tears, other eye products recalled; consumers urged to ...

This follows the government's implementation of the Recognition of Prior Learning (RPL ... enhance quality standards in service delivery, and uplift the socio-economic status of skilled but ...

Train, car, bicycle ... Hundreds of millions of us make the same journey day in day out. Take a hike with Alice and Neil and learn new vocabulary. Are artificial lights and late night TV ruining ...

Participants shared challenges, identified overlapping needs, and explored how shared standards might simplify ... and application learning systems,” said Adam Stienecker, Director of Global ...

Syracuse, N.Y. — About 10 miles of new sidewalks are planned for city of Syracuse neighborhoods, paid with funding from an annual fee property owners pay and state reimbursement money. The ...

Abstract: This paper proposes a novel hierarchical reinforcement learning (HRL ... The important premise is that the robots should have certain ability of complex manipulation skill learning. Complex ...

WASHINGTON (AP) — Senate Democrats have blocked legislation to regulate stablecoins, a form of cryptocurrency, after arguing that the bill needed stronger protections and airing concerns that it ...