21 summarised stories about Agent Training, each linking back to the original source. Browse all topics →
OpenAI 8 years ago 12
Researchers released Evolved Policy Gradients, a method that automatically designs loss functions for training agents rather than using hand-crafted ones. Agents trained with EPG generalized to novel spatial navigation tasks, such as finding objects on opposite sides of rooms from their training experience. This approach enables faster learning on new tasks without requiring manual redesign of training objectives for each new problem.
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20 October 2026
The biggest AI thread today is Meta’s move from “spend on models” to “own the machine,” with Mark Zuckerberg and Alexandr Wang describing a full-stack strategy and a $100 billion-plus bet that could rise to $200 billion. Meta isn’t waiting for proof before building; it’s scaling its own infrastructure while also plotting monetization beyond ads—commercializing AI compute and deploying agent-style tools like Muse to turn internal capacity into an external revenue stream. It’s a familiar platform play, but with unusually large numbers attached.
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