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Dreamer 4 takes world models to a new level - training multi-task agents fully in imagination while never touching the real environment. Powered by a novel shortcut forcing method, it delivers lightning-fast, accurate predictions and crushes benchmarks, beating OpenAI’s VPT with 100x less data. This breakthrough makes scalable, versatile... show more

Chubby♨️

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56,924 次观看 • 10 个月前 •via X (Twitter)

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Wow. That's cool. Researchers just released World, an open-source Unreal Engine 5 simulator for training and testing LLM and VLM agents in realistic 3D environments. The platform supports RGB, depth, and segmentation sensors, along with navigation, vehicles, pedestrians, robots and procedural city generation. It's built with a Gym-like Python interface, it allows AI agents to learn physical and social reasoning in complex virtual worlds before real world deployment. We're moving from AI that only understands information to AI that can perceive, reason and act inside realistic simulated environments.

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