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!!
NVIDIA NitroGen Model Wins CVPR Award for Multiverse Embodied Agents
NVIDIA· Updated
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.
- 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.
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