SIMA 2：适用于虚拟世界的通用具身智能体 / SIMA 2: A Generalist Embodied Agent for Virtual Worlds
1️⃣ 一句话总结
这篇论文介绍了一个名为SIMA 2的通用智能体，它能在各种3D虚拟世界中理解、推理并执行复杂任务，不仅能像人类一样与用户对话协作，还能通过自我学习掌握新技能，向创建能持续学习的通用人工智能迈出了重要一步。
🤖 系统
Abstract - SIMA 2: A Generalist Embodied Agent for Virtual Worlds
We introduce SIMA 2, a generalist embodied agent that understands and acts in a wide variety of 3D virtual worlds. Built upon a Gemini foundation model, SIMA 2 represents a significant step toward active, goal-directed interaction within an embodied environment. Unlike prior work (e.g., SIMA 1) limited to simple language commands, SIMA 2 acts as an interactive partner, capable of reasoning about high-level goals, conversing with the user, and handling complex instructions given through language and images. Across a diverse portfolio of games, SIMA 2 substantially closes the gap with human performance and demonstrates robust generalization to previously unseen environments, all while retaining the base model's core reasoning capabilities. Furthermore, we demonstrate a capacity for open-ended self-improvement: by leveraging Gemini to generate tasks and provide rewards, SIMA 2 can autonomously learn new skills from scratch in a new environment. This work validates a path toward creating versatile and continuously learning agents for both virtual and, eventually, physical worlds.