DEPO constructs uncertainty bonuses from historical data for exploration in online RLHF and provides a data-dependent regret bound that adapts to task hardness.
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Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
DEPO constructs uncertainty bonuses from historical data for exploration in online RLHF and provides a data-dependent regret bound that adapts to task hardness.