Author

D. Austin

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Preprint Aug 2026

Semantic Bandits: In-Context Exploration-Exploitation is Biased by Semantic Priors

It is argued that the use of language to define the environment and rewards introduces unavoidable biases derived from the fact that the model is trained on word co-occurence, with implications for the reliability and robustness of LLM agents in real-world decision-making settings.

D. Austin, Kaheer Suleman, J. Cheung · 0 citations