These environments demand multi step reasoning, the chaining of multiple skills over many timesteps, and robust decision making under [delayed rewards](https://huggingface.co/papers?q=delayed%20rewards) and [partial observability](https://huggingface.co/papers?q=partial%20observability).
这些环境要求多步推理、在多个时间步长中连锁多个技能，以及在延迟奖励和部分可观测性下的稳健决策，这突显了长期交互环境对智能体能力的挑战。
Gemini Robotics-ER 1.6 achieves its highly accurate instrument readings by using agentic vision, which combines visual reasoning with code execution. The model takes intermediate steps: first zooming into an image to get a better read of small details in a gauge, then using pointing and code execution to estimate proportions and intervals and get an accurate reading.
这一描述揭示了AI如何通过多步骤推理解决复杂问题，展示了模型在处理精细视觉任务时的创新方法。将视觉推理与代码执行相结合的能力代表了AI系统向更接近人类认知方式的方向发展，这种混合方法可能成为未来AI解决复杂物理任务的标准范式。