The 'Delethink' environment trains LLMs to reason in fixed-size chunks, breaking the quadratic scaling problem that has made ...
With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run ...
Andrej Karpathy says that reinforcement learning is still terrible but better than all other AI learning approaches. Elon ...
AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...
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Breaking the spurious link: How causal models fix offline reinforcement learning's generalization problem
Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.
Andrej Karpathy, one of the founding members of OpenAI, on Friday threw cold water on the idea that artificial general ...
CoreWeave shares rise 8% as the AI cloud provider launches serverless reinforcement learning tools, boosting efficiency and ...
Peter Hoeschele, who runs OpenAI’s Stargate data center team, said at an event last week that the company’s models are ...
AI writing now matches human fluency, blending structure and meaning seamlessly. learn how essays evolved to sound naturally ...
This work presents an AI-based world model framework that simulates atomic-level reconstructions in catalyst surfaces under dynamic conditions. Focusing on AgPd nanoalloys, it leverages Dreamer-style ...
The architecture of FOCUS. Given offline data, FOCUS learns a $p$ value matrix by KCI test and then gets the causal structure by choosing a $p$ threshold. After ...
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