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ResearchOctober 5, 2026

Tropical Reinforcement Learning

Reinforcement learning for large language models typically maximizes expected return, adding up the probabilities of all successful trajectories. However, the classical sum formulation can only report how often the model policy succeeds, not which solution actually worked, and…

Arip Asadulaev, Aladin Djuhera, Karim Salta, Holger Boche, Fakhri Karray, Martin Takac·arXiv — cs.AI
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Key Takeaways
  • 01.Reinforcement learning for large language models typically maximizes expected return, adding up the probabilities of all successful trajectories
  • 02.However, the classical sum formulation can only report how often the model policy succeeds, not which solution actually worked, and…

This material is provided as an extended analytical summary.

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