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Towards Robust Long-Lived Agents: Benchmarking Experience Lifecycles in Evolving Environments

arXiv:2611.05450v1 Announce Type: new
Abstract: As agents become more capable, they are moving beyond one-off tasks toward sustained assistance across successive user goals. Such assistance requires agents to discover how unfamiliar environments work, reuse what they learn across tasks, and keep that experience current as environments evolve. Existing benchmarks increasingly study experience reuse and adaptation, but provide limited insight into which parts of accumulated experience agents revi

Rajasekar Madankumar

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