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) ...
usace.army.mil

Army research leads to more effective training model for robots

ADELPHI, Md.-- Multi-domain operations, the Army’s future operating concept, requires autonomous agents with learning components to operate alongside the warfighter. New Army research reduces the ...
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 ...
EurekAlert!

Towards a safe society 5.0: Reinforcement learning pentesting agent training in realistic network environments

Researchers at the Japan Advanced Institute of Science and Technology (JAIST) implemented a framework named PenGym that supports the creation of realistic training environments for reinforcement ...
Geeky Gadgets

Why Reinforcement Learning Could Be AI’s Biggest Flaw Yet

What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...
Occupational Health & Safety

Rethinking OEHS Training: Moving Beyond Compliance to Reduce Risk

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...