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Southeast University
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Decision-aware training signals outperform traditional next-observation predictions, leading to more effective learning in LLM agents.
Don't let valuable steps in failed trajectories go unnoticed: GraphGPO leverages state-transition graphs for fine-grained credit assignment in agentic RL, boosting performance and efficiency.
