Terminal utility evaluates a complete agentic workflow, but learning requires credit for the decisions within it. We introduce Attentive Search over Counterfactual Trees (ASCT), a framework that turns training-time multi-step search into local action credit. At actor-visited states, an auxiliary tree evaluates alternat...
Yang Li, Jin-Han Yang, Hai Liu et al.· 0 citations
Agentic systems persist model-visible memory while mutating workspaces, while a runtime, registry, or approval service may hold authority state outside both. Identical final files can then require opposite safe actions. We call this the cross-substrate authority gap: decision- relevant authorization information resides...
Yang Li, Sergey Volkov, Hai Liu et al.· 0 citations
This work introduces Agent-UCT, a tree search algorithm that extends UCT with a reuse-aware regularization term derived from a bipartite prefix reuse graph, and RAGSpace, a unified framework for cost-aware, reproducible, and compositionally efficient agentic workflow optimization.
Yang Li, Hai Liu, Dian Shao et al.· 0 citations
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