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Preprint Sep 2026

NavHarness: Towards Lifelong Embodied Navigation

Frontier models can now perform well on individual embodied navigation tasks through multi-round multimodal reasoning with simple tools. Across successive tasks, however, an agent must also rely on an evolving map and earlier search records, both of which may be incomplete or conflict with new observations. We present...

Xun-Yi Zhao, Jian Zhou, Si-Hao Lin et al. · 0 citations
#artificial intelligence Preprint Sep 2026

CUA-Sandbox: Efficient Environments for Computer-Use Agent Reinforcement Learning

CUA-Sandbox is introduced, which separates private state capsules from shared runtimes through state-scoped execution and transactional lifecycle operations, including resets and branches, while retaining the original software interfaces and task evaluators.

Xin Yan, Zheng-Bo Jiao, Jia-Qi Liu et al. · 0 citations

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