This form of reinforcement learning was also shown to correct for control scenarios like irregular meal timing and compression errors. Offline reinforcement learning (RL) in hybrid closed-loop systems ...

ADELPHI, Md. -- Army researchers developed a reinforcement learning approach that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing ...

Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.

In just three months, the crew of three young scientists overcame a swarm of challenges to achieve this groundbreaking advancement in robotic autonomy and space operations. “The APIARY team’s ...

image: Researchers from North Carolina State University, the University of North Carolina and Arizona State University have developed an intelligent system for 'tuning' powered prosthetic knees, ...

Researchers developed a reinforcement learning approach that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing performance uncertainty.