A new technical paper titled “Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration” was published by researchers at Harvard University and Google research groups.

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Autonomous vehicles (AVs) have the potential to transform transportation systems by improving safety, efficiency, accessibility, and comfort. However, developing reliable control policies for AVs to ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

General Atomics Aeronautical Systems, Inc. (GA-ASI) further advanced its Collaborative Combat Aircraft (CCA) ecosystem by flying three unique missions with artificially intelligent (AI) pilots on an ...