most citedRelative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis

1 citations · 1 across the 2 of their papers we have counts for

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3 papers

eess.SY2025

Taking Advantage of Rational Canonical Form for Faster Ring-LWE based Encrypted Controller with Recursive Multiplication

Donghyeon Song, Yeongjun Jang, Joowon Lee +1

This paper aims to provide an efficient implementation of encrypted linear dynamic controllers that perform recursive multiplications on a Ring-Learning With Errors (Ring-LWE) base…

cs.LG2025★ 1 cited

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…

eess.SY2025

Documentation on Encrypted Dynamic Control Simulation Code using Ring-LWE based Cryptosystems

Yeongjun Jang, Joowon Lee, Junsoo Kim

Encrypted controllers offer secure computation by employing modern cryptosystems to execute control operations directly over encrypted data without decryption. However, incorporati…