Measure First, Then Allocate: Calibrated Rollout Budgets for MCP Agents in Reinforcement Learning
arXiv:2610.28785v1 Announce Type: new Abstract: Training tool-using language models requires costly interaction, yet identical rewards within a rollout group provide no group-relative learning signal. We use reward disagreement to guide harness evaluation and the allocation of rollouts for policy t…
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- 2026-10-22 04:00 · arXiv cs.LG
Measure First, Then Allocate: Calibrated Rollout Budgets for MCP Agents in Reinforcement Learning