Near-Optimal Reinforcement Learning with Shuffle Differential Privacy

Shaojie Bai, Mohammad Sadegh Talebi, Chengcheng Zhao +2

Reinforcement learning (RL) is a powerful tool for sequential decision-making, but its application is often hindered by privacy concerns arising from its interaction data. This cha…