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) ...

How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
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 ...
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 ...

The FelineVMA Launches Positive Reinforcement Training Educational Toolkit

The FelineVMA Launches Positive Reinforcement Training Educational Toolkit BRANCHBURG, NJ, UNITED STATES, January 8, ...
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 ...