RetrOrchestrator: A Multi-Step Retrosynthesis Agent Dynamically Orchestrating Single-Step Transition Models
International Conference on Machine Learning (ICML), 2026
A multi-step retrosynthesis agent that dynamically orchestrates single-step transition models for more efficient and accurate synthesis planning.
Recommended citation: Chang Liao, Luotian Yuan, Yiping Ke, Ying Wei. (2026). "RetrOrchestrator: A Multi-Step Retrosynthesis Agent Dynamically Orchestrating Single-Step Transition Models." International Conference on Machine Learning (ICML).
