arxiv
PublishedOctober 22, 2026 at 4:00 AM
One Act, Many Masks: Effect-Marginal Policy Optimization for Long-Horizon Agents
Publisher summary· verbatim
arXiv:2610.29427v1 Announce Type: new Abstract: Recent advances in multi-turn reinforcement learning (RL) have substantially improved the performance of LLM agents on complex, long-horizon interactive tasks. However, despite progress in fine-grained credit assignment, policy optimization still appli
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