Fusion is the New Mutation: Bandit-Guided Evolution on Workflow Graphs

Excerpt

arXiv:2610.05284v1 Announce Type: new Abstract: Automated agentic workflow optimization relies on costly evaluations, making it essential to allocate a limited evaluation budget effectively. Multi-parent fusion can reuse designs from previously discovered workflows, but identifying promising parent combinations requires learning from limited fusion feedback. We introduce DAGO (Directed Acyclic Graph Optimization), a contextual-bandit-guided framework that learns which parent workflows to fuse un