Preprint
Sep 2026
Privacy-Preserving Prompted Policy Search for Robotic Control
Large language models (LLMs) have recently demonstrated promising capabilities as in-context policy optimizers for Reinforcement Learning (RL), enabling policy search driven by both numerical reward signals and natural language reasoning. However, deploying such methods in practice requires transmitting raw policy para...
Ali Irshayyid, Feng Lin, Chong Li et al.
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