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 fundamental uniform cr
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ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning was first seen on Hugging Face · Daily papers on Oct 27, 2026. Since then it appeared in 6 hourly checks across 1 day, peaking at #19 on Oct 27, 05:28 UTC. It is #22 on the list right now.
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