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Research · first seen 04 November 2026, 13:24 UTC
Paper: multi-turn RL gains for LLM agents depend on turn budgets
A paper evaluating agentic reinforcement learning via Pass@(K,T) finds trajectory-level gains require sufficient interaction depth and diminish as budgets tighten.
