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) ...
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Reinforcement learning boosts reasoning skills in new diffusion-based language model d1

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...
Electronics Weekly

Robots ‘getting it right the first time’ after random AI learning

Northwestern University engineers have developed an artificial intelligence algorithm for smart robots that gather their own raw data. Dubbed ‘MaxDiff RL’ (maximum diffusion reinforcement learning), ...