Reinforcement Learning
7 reportsThe research story of Reinforcement Learning is traced through data requirements, together with optimization procedure and evaluation metrics. Claims involving optimization procedure are weighed against controlled benchmarks and checked with ablation studies; the account does not overlook that headline accuracy can hide distribution shifts, bias, or unstable behavior.
AI Agent Controls X-62A Fighter Jet in Live Intercept Flight Tests
Lockheed Martin and the U.S. Air Force Test Pilot School have tested an AI agent that autonomously flew the X-62A VISTA fighter using real-time infrared sensor data to intercept a live aircraft, marking a step toward operational airborne autonomy
Atlas to Expand Driverless Truck Fleet for Oilfield Sand Transport
Atlas Energy Solutions plans to increase its AI-enabled driverless truck fleet in the US Permian Basin, aiming for 100 vehicles by mid-2027, to automate sand delivery for hydraulic fracturing across private oilfield routes
Curiosity-Driven AI Robots Show Faster Language Learning in Simulation
Researchers at the Okinawa Institute of Science and Technology have built virtual robots that learn language tasks more efficiently by rewarding curiosity, revealing new patterns of play-like behavior and adaptability in controlled experiments
Humanoid Robot Learns to Walk on Real Terrain With Less Training
Georgia Tech researchers have introduced a machine-learning framework that enables a humanoid robot to walk across unpredictable real-world surfaces, reducing both training time and computational demands compared to previous methods
Swiss Startup Mimic Robotics Reveals Sensor-Rich Robotic Hand for Factories
Mimic Robotics has introduced the Mimic Hand M1, a tendon-driven robotic hand designed for industrial automation, featuring advanced tactile sensing and a human-like joint structure to improve manipulation of diverse objects in real-world settings
AI System Tested in Remotely Piloted F-16 Without Core Software Rewrite
A modified F-16 fighter jet was flown under AI control in a supervised test by DARPA and the US Air Force, using the VENOM Autonomy Kit to enable remote operation without altering the aircraft's core flight software
World Models Aim to Simulate Reality but Face Technical Barriers
Researchers are developing world models-AI systems designed to simulate aspects of the physical world. These models promise new capabilities beyond language, but their accuracy and reliability remain unsettled