Most current autonomous driving systems rely on single-agent deep learning models or end-to-end neural networks. While ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

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

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