FIELD NOTES TOPIC

regret minimization

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  1. Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning

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    The researchers introduce a machine teaching algorithm that operates across multiple MDPs (multi-agent decision making problems) to learn robust reward functions from heterogeneous feedback modalities in diverse…