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Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context Reinforcement Learning

Kwon, Minchan et al.
arXiv (All) · Papers
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computation-and-language
LLM agents increasingly improve at inference time by accumulating experience in context rather than by updating parameters. This process is often described as in-context reinforcement learning (ICRL). Whether in-context learning (ICL) can actually play the role of RL, however, has not been tested. W
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