通用智能体必须记住隐藏环境规则

This paper shows that a good generalist agent must remember hidden environment rules, not just observe the current state.

That sounds obvious until you notice the trap this paper isolates: two worlds can show the agent the same state, offer the same goal, and still require opposite actions.

At that moment, observation is no longer enough.

The important object is not “memory” as a vague engineering feature, but memory as the place where hidden context must be carried when the environment refuses to label itself.

The paper’s core idea is that memory is not optional in this setting, because a near-perfect agent must store enough past experience to tell which hidden environment it is currently in.

The authors prove that when 2 hidden domains require incompatible actions at the same visible state, any agent that performs well across both domains must have different internal memory states for those domains.

The big point is that good generalist agents do not just react to what they see now, because they must carry hidden context from earlier experience when the world can change underneath the same observation.

Link – arxiv. org/abs/2606.18746

Title: "What Must Generalist Agents Remember?"