Subgoal-aware Memory Graph for GUI Agent
GUI agents aim to automate complex user tasks by interacting with mobile interfaces, but ef- fective decision-making in long-horizon set- tings requires reusing prior experience rather than relying solely on the environment ob- servations. Existing memory-based methods typically store experience either at the single- action level or as entire trajectories. Single- step actions are often too fine-grained to carry meaningful semantics, since the success of an individual action does not necessarily imply progress towards the overall goal. In contrast, whole trajectories are often too coarse-grained and difficult to reuse across different tasks. We propose a subgoal-aware memory graph that di...
| Authors | Dezhao Luo, Daniel Beechey, Derek Yuen et al. |
|---|---|
| Primary category | cs.AI |
| Published | 22 October 2026 |
| Last updated at source | 22 October 2026 |
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