most citedLeveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories

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cs.LG2026

ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning

Bowen Ding, Mingda Wan, Yuhan Chen +7

Reinforcement learning (RL) has emerged as the primary paradigm for optimizing Large Language Model (LLM) agents, yet efficient critic-free algorithms (e.g., GRPO) suffer from a fu…