Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
ADELPHI, Md. — Army researchers developed a pioneering framework that provides a baseline for the development of collaborative multi-agent systems. The framework is detailed in the survey paper ...
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 ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
The FelineVMA Launches Positive Reinforcement Training Educational Toolkit BRANCHBURG, NJ, UNITED STATES, January 8, ...
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