3 citations · 3 across the 5 of their papers we have counts for
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cs.AI2026
AgentOmnia: Scaling Agentic Models for Full-Scenario Applications
Hao Jiang, Gangtao Xin, Yingdi Huang +35
Large language model agents have advanced rapidly, yet progress remains fragmented across domains, capabilities, task difficulty, and interaction settings. We frame this as full-sc…
cs.AI2021★ 3 cited
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
Yunkun Xu, Zhenyu Liu, Guifang Duan +3
Safety has become one of the main challenges of applying deep reinforcement learning to real world systems. Currently, the incorporation of external knowledge such as human oversig…