Yingru Li
Yingru Li
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Optimistic Thompson Sampling for No-Regret Learning in Unknown Games
Many real-world problems involving multiple decision-makers can be modeled as an unknown game characterized by bandit feedback. …
Yingru Li
,
Liangqi Liu
,
Wenqiang Pu
,
Zhi-Quan Luo
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arXiv
Efficient and scalable reinforcement learning via hypermodel
Addressing efficiency challenge in RL with theoretical advancements and practical algorithm designs.
Yingru Li
,
Jiawei Xu
,
Zhiquan Luo
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Poster
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No-Regret Learning in Unknown Game with Applications
Aug 23, 2022 2:00 PM
Yingru LI
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HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
We design a practical randomized exploration method to address the sample efficiency issue in online reinforcement learning.
Ziniu Li
,
Yingru Li
,
Yushun Zhang
,
Tong Zhang
,
Zhi-Quan Luo
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ICLR2022
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