arXiv AI June 16, 2026 By Daksh Mittal, Tommaso Castellani, Thomson Yen, Naimeng Ye, Fangyu Wu, Minghui Chen, Tiffany Cai, Emmanouil Koukoumidis, William Zeng, Hongseok Namkoong

LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure

Read the original on arXiv AI →

arXiv:2606. 15306v1 Announce Type: 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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling

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