Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
Students at DC Everest Idea School presented their independent research projects to community members Thursday evening during ...
Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...
Deep Learning with Yacine on MSN
Watch an AI learn to balance a stick — reinforcement learning in action
Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you ...
Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.
Washington, Nov. 25, 2025—The World Bank Board of Executive Directors today approved two projects in India that will benefit more than 6 million people by using innovative digital solutions to improve ...
Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...
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