GitHub

PeRL: Permutation-Enhanced Reinforcement Learning

Inspired by the impressive reasoning capabilities demonstrated by reinforcement learning approaches like DeepSeek-R1, PeRL addresses a critical limitation in current multimodal reinforcement learning: ...
IEEE

Integrating Viterbi-Like Algorithms with Neural Networks for Resynchronizing Permutation Codes

Abstract: Permutation codes are extensively studied because of applications such as frequency-shift keying modulation for power line communication (PLC). In PLC ...