arXiv AI
T2SPO: Trajectory-to-Step Policy Optimization for Agentic Reinforcement Learning
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Hugging Face Trending Papers
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TRCA: Transition-wise Rubric Credit Assignment for Long-horizon LLM Agents
Long-horizon large language model (LLM) agents are typically optimized with sparse terminal outcomes, making fine-grained credit assignment across multi-step interactions difficult. Existing approache...