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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Han Liu

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Book Open access Aug 2026

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Sample-Efficient Lead Optimization

POLO (Preference-guided Optimization for Lead Optimization), a multi-turn Reinforcement Learning framework for sample-efficient lead optimization, which extracts learning signals from each trajectory at two complementary levels: trajectory-level policy optimization reinforces successful multi-turn strategies, while tur...

Ziqing Wang, Yibo Wen, William Pattie et al. · 0 citations
Book Open access Aug 2026

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Sample-Efficient Lead Optimization

Lead optimization in drug discovery requires iteratively refining molecular candidates while preserving structural similarity to the original compound. Since each evaluation is costly, sample efficiency, the ability to achieve strong performance with limited oracle calls, becomes critical. Existing methods, from geneti...

Ziqing Wang, Yibo Wen, William Pattie et al. · 0 citations

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