MoFlow: Multi-Objective Agentic Workflow Generation
MoFlow formulates workflow generation as a multi-objective Markov decision process and solves it by leveraging Convex-Hull Monte Carlo Tree Search with optimistic set-valued backups, where every node stores a set of reachable trade-offs rather than one weighted score.
Yining Lu, Aurélie C. Lozano, Xi Yang et al.
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