Reinforcement Learning In Partially Verifiable Environments for Colon Cancer Treatment Planning
Clinical decision-making is a sequential process of information collection, clinical inference, and forecasting under partial observability, often without a uniquely correct treatment decision. Large language models (LLMs) have demonstrated strong medical question-answering capabilities but extending these advances to...
Li-Ching Chen, Andrés Franco Valiente, Yuta Ishiyama et al.
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