Hierarchical Reinforcement Learning helping Army advance drone swarms

Hierarchical Reinforcement Learning

Army researchers developed Hierarchical Reinforcement Learning that allows swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing performance uncertainty on the battlefield.

Army researchers developed a reinforcement learning approach that allows swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing performance uncertainty.

The post Hierarchical Reinforcement Learning helping Army advance drone swarms appeared first on The Robot Report.

More Related Posts

UChicago Scientists Uncover How HIV Invades Cell Nucleus with Help from TACC’s Frontera

A new study from two University of Chicago (UChicago) scientists has revealed...

Science Beyond Siri: A Team of Educators and Computer Scientists Take on AI

The rise of artificial intelligence (AI) and a branch of AI called...

How singulation and sorting of parcels can benefit from AI-powered robots

Source: Photoneo Manual singulation of huge piles of parcels and envelopes, followed...

Home

Highly Niched Headhunters Specialized in Physical AI/Robotics, High-Performance Computing, Unmanned/Autonomous Systems, Defense Technology and Energy.

Specializations

We recruit across complex engineering markets where understanding the technology is critical to finding the right talent.

How We Work

Overview of how PACE partners with teams: Our process, what clients get, and why PACE is different.

About Us

PACE’s story, values, and culture define how we operate and who we are.

News & Insights

Stay up to date on industry trends.

Contact

All the information needed for anyone interested in contacting us.