Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis

Jihoon Suh, Yeongjun Jang, Kaoru Teranishi +1

We propose an efficient encrypted policy synthesis to develop privacy-preserving model-based reinforcement learning. We first demonstrate that the relative-entropy-regularized rein…