Yitong Gao
1 indexed paper
Recent (6 mo)
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126
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Robotics×1ML×1
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Research Timeline
2026
UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning
UniIntervene proposes an agentic intervention model for human-in-the-loop reinforcement learning to reduce human interventions and improve policy efficiency.
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Papers
cs.ROcs.LGEmpiricalRecentJun 10, 2026
UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning
Haoyuan Deng, Yitong Gao, Yudong Lin, Haichao Liu +2 more
UniIntervene proposes an agentic intervention model for human-in-the-loop reinforcement learning to reduce human interventions and improve policy efficiency.
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