arxiv
PublishedMay 29, 2026 at 4:00 AM
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RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models
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arXiv:2603.18859v2 Announce Type: replace Abstract: Reinforcement learning (RL) shows promise for enhancing LLM agentic reasoning, yet sparse terminal rewards hinder fine-grained optimization. Process reward modeling offers an alternative but incurs high computational costs, reward hacking risks, an
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