Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
EurekAlert!

A new AI-based attack framework advances multi-agent reinforcement learning by amplifying vulnerability and bypassing defenses

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
EurekAlert!

Reinforcement learning paves the way for safer and smarter highway autonomous vehicles

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 ...
IT News Africa

Agentic AI Unveiled: The Future of Intelligent, Autonomous Systems

The Future of Intelligent, Autonomous Systems - IT News Africa | Business Technology, Telecoms and Startup News ...
Mirage News

AI Attack Framework Boosts Multi-agent Learning Flaws

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial intelligence (AI) to address a ...
AZoRobotics on MSN

Simulation-only training enables quadruped robots to master real-world terrain

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...
Electronics360

Wind turbine control systems: From PID to reinforcement learning

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

Multi-agent AI boosts safety and transparency of self-driving cars in cities

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