Wen-Wen Si

Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation

Sequential recommenders typically use a fixed slate size even though the number of useful alternatives changes within a session. We propose Reinforcement Learning with Calibrated Pruning (RLCP), which adapts the retained action set using critic scores and an online threshold. The threshold is updated from binary feedba...