AI Research
Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization
Multi-objective molecular optimization requires searching vast chemical spaces under conflicting objectives, where early design decisions strongly constrain downstream outcomes. Existing methods typically rely on a single policy or fixed scalarization, which limits their ability ...
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ArXiv CS.AI
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ArXiv CS.AI
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This research introduces ATOM, a novel multi-agent framework for molecular optimization that tackles the inherent trade-offs in chemical design. By utilizing a tree-structured search with specialized agents coordinating along different paths, it enables more effective exploration of diverse molecular possibilities.
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