Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

First person view (FPV) quadcopter drones have become increasingly more capable over the years, as well as much smaller. The popular 65 mm format, as measured from hub to hub, is often considered to ...

LONDON—The UK Royal Navy has completed the first ship-to-ship delivery of supplies using the Malloy quadcopter uncrewed aircraft system (UAS) during the Carrier Strike Group 2025 deployment. Five ...

A US Army quadcopter engaged and destroyed a winged drone during an exercise at Fort Rucker, Alabama. These days, that's not such a rare occurrence, but this one is different – it's the first that ...

At UC Berkeley, researchers in Sergey Levine’s Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...

PDW’s C100 quadcopter, which has also been acquired by the U.S. Army, was used to safely lase targets from a standoff range, demonstrating a new joint fires capability. Performance Drone Works (PDW), ...

Recent demonstrations show how relatively simple quadcopter drones can be integrated with sophisticated conventional weapon systems like the F-35 fighter to form what military planners call a kill ...

BAE Systems has demonstrated the performance of its APKWS laser-guided rocket during test firings involving a version of subsidiary Malloy Aeronautics’ T-150 quadcopter uncrewed air system (UAS).

A simulation for decentralized quadrotor swarm control using end-to-end deep reinforcement learning, based on the repo by Zhehui Huang et al. This version features a Three.js-based 3D visualization ...