arXiv: cs.AI preprintsInternational6 November 2026
LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure
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arXiv:2606.15306v2 Announce Type: replace-cross Abstract: We envision continually learning agentic systems that become more useful over time: as they encounter sequences of related tasks, they should infer the hidden structure shared across those tasks and use it to improve future decisions. This cross-task experiential learning capability is pivotal in domains such as personalization and interactive assistance, but existing training/evaluation frameworks do not provide shared, controllable latent structures and cannot measure whether or why agents improve. We introduce LatentGym: a controllab
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