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Elastic Horizon: Discovering the Effective Interaction Frontier in Agentic Reinforcement Learning

Zhang, Gangyi et al.
arXiv (All) · Papers
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artificial-intelligence
Scaling the interaction horizon-the maximum number of environment interactions per episode-improves LLM agents on long-horizon tasks, and curriculum-based methods that progressively expand the horizon outperform fixed-horizon alternatives. However, existing schedules are open-loop: they monotonicall
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