NVIDIA NitroGen Model Wins CVPR Award for Multiverse Embodied Agents

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NVIDIA's NitroGen foundation model for generalist gaming agents received a CVPR Best Paper Honorable Mention. This recognition marks progress toward AI agents that master physics across both real-world and simulated environments, a step toward more adaptable, general-purpose embodied AI.

NVIDIA's NitroGen, an open foundation model for generalist gaming agents, received a CVPR Best Paper Honorable Mention. This model enables embodied agents that autonomously plan and act to master physics in real-world scenarios and across a multiverse of simulations. It includes a 40,000-hour video-action dataset across 1,000 games, a simulator, and the vision-to-action foundation model.
Award
CVPR Best Paper Honorable Mention
Dataset Size
40,000 hours
Games Covered
1,000
Key Components
Universal Gameplay Harness, Multi-Game Foundation Agent, Internet-Scale Video-Action Dataset

The award for NitroGen signifies progress towards general-purpose embodied agents operating in complex, physics-driven environments. This aligns with NVIDIA's strategy to advance physical AI, building on the vision for Physical AGI. Its focus on a "multiverse of simulations" is what trains the agents to generalize across unpredictable physics.

NitroGen extends the embodied-agent line NVIDIA began with MineDojo, its Minecraft agent that won a NeurIPS Best Paper four years ago, now scaled from one game to 1,000 and a multiverse of simulations. It sits alongside NVIDIA's broader physical-AI stack, from Physical AI Agent Skills to the Physical AI Data Factory Blueprint.

NVIDIA's "NITROGEN" foundation model for generalist gaming agents receives a Best Paper Honorable Mention award.
Jim Fan
Jim Fan
@DrJimFan
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NitroGen just won CVPR Best Paper Honorable Mention!! We are making strides towards general-purpose embodied agents that master not only the real world physics, but also all possible physics across a multiverse of simulations. It’s been 4 years since MineDojo, our first embodied agent in Minecraft, won NeurIPS Best Paper. Congrats to everyone on the team!!

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