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 ...
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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 ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I will identify and discuss an important AI ...
Among those interviewed, one RL environment founder said, “I’ve seen $200 to $2,000 mostly. $20k per task would be rare but ...
Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...
DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...
The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now things get interesting. When the Chinese firm DeepSeek dropped a large ...
Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...
Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
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