AI RESEARCH
RTMC: Step-Level Credit Assignment via Rollout Trees
arXiv CS.AI
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ArXi:2604.11037v1 Announce Type: cross Multi-step agentic reinforcement learning benefits from fine-grained credit assignment, yet existing approaches offer limited options: critic-free methods like GRPO assign a uniform advantage to every action in a trajectory, while learned value networks