2 papers
cs.LG2026
ServeLearnBench: How Well Can Agents Self-Improve from Serving Experience?
Haizhong Zheng, Yizhuo Di, Ranajoy Sadhukhan +2
Large language model agents are increasingly deployed to perform complex tasks in real-world environments. However, the knowledge required for correct behavior in these environment…
cs.LG2026
AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs
Haizhong Zheng, Yizhuo Di, Jiahui Wang +7
Reinforcement learning (RL) is increasingly used to improve the reasoning, coding, and tool-use capabilities of large language models, but agentic RL remains prohibitively expensiv…