Laixi Shi
2 indexed papers
Recent (6 mo)
2With code
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226
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ML×2AI×1Robotics×1Multiagent×1
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Research Timeline
2026
MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?
This paper systematically studies the potential of prompt optimization in multi-agent systems (MAS) across various setups, revealing significant gains but also open challenges.
RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms
The paper introduces RobustRLlib, a library and benchmark for robust reinforcement learning that improves reusability and provides an empirical capability map of current robust RL algorithms.
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Papers
cs.LGcs.AIcs.ROEmpiricalRecentOct 23, 2026
RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms
Xi Chen, Fengqi Hu, Zeyu Shen, Jiaying Xu +4 more
The paper introduces RobustRLlib, a library and benchmark for robust reinforcement learning that improves reusability and provides an empirical capability map of current robust RL algorithms.
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cs.LGcs.MAEmpirical