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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 because probabilities…

By Arip Asadulaev, Aladin Djuhera, Karim Salta, Holger Boche, Fakhri Karray, Martin TakacarXiv - cs.AI

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Originally published by arXiv - cs.AI on Oct 5, 2026.

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