TRCA: Transition-wise Rubric Credit Assignment for Long-horizon LLM Agents.

arXiv:2608.16156v2 Announce Type: replace Abstract: 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 approaches either