Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets 事件

Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets arXiv:2605.26690v1 Announce Type: cross Abstract: Protein sequence optimization under tight oracle budgets requires methods that explore vast combinatorial spaces while making each evaluation informative. Existing reinforcement learning and off-policy generative approaches often degrade under surrogate noise, and position-agnostic mutation proposals risk disrupting functionally critical residues.