SILO outperforms five baselines on eight protein fitness landscapes by using trajectory-level imitation on trajectories selected via hierarchical beam search and biological proxy guidance under limited oracle budgets.
Robust optimization in protein fitness landscapes using reinforcement learning in latent space.arXiv preprint arXiv:2405.18986, 2024
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Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
SILO outperforms five baselines on eight protein fitness landscapes by using trajectory-level imitation on trajectories selected via hierarchical beam search and biological proxy guidance under limited oracle budgets.