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#artificial intelligence Preprint Sep 2026

Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning

A Graph-based Faithful sTep-level credit-assignment framework (GRAFT) that grafts all rollout trajectories into a trajectory graph, recovering node state-values via Bellman iteration on the graph, and assigning credit to each edge by the node value difference is proposed.

Xin-Cheng Yao, Haobo Fu, Wei-Ming Liu et al. · 0 citations
Jul 2026

AutoPref: Automatic Discovery of Task-Specific Preference Objectives for Neural Combinatorial Optimization

AutoPref is presented, the first LLM-guided framework for automated preference-objective discovery in NCO, which consistently outperforms strong hand-designed baselines across problem scales, demonstrating the benefits and scalability of automated objective discovery for NCO.

Shengda Gu, Kai Li, Xin-Yi Ke et al. · 0 citations

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