Yingru Li
Yingru Li
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Reinforcement Learning
HyperAgent - A Simple, Efficient, Scalable and Provable RL Framework
Practically and provably efficient RL under resource constraints!
Mar 23, 2024 1:30 PM
Rice University
Yingru LI
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HyperAgent - A Simple, Efficient and Scalable RL Framework for Complex Environments
Practically and provably efficient RL under resource constraints!
Jan 13, 2024 1:20 PM
Daoyuan Building
Yingru LI
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Prior-dependent analysis of posterior sampling reinforcement learning with function approximation
This paper delves into the Bayesian regret of posterior sampling reinforcement learning (PSRL) and presents a novel prior-dependent regret bound within the linear mixture model. The bound hinges on the variance of the underlying MDP in the prior distribution, offering a distinctive perspective in the realm of randomized exploration.
Yingru Li
,
Zhi-Quan Luo
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Towards AGI for Humanity through Efficient Reinforcement Learning
Addressing efficiency chanllenge in RL by HyperFQI algorithm
Oct 21, 2023 2:30 PM
Teaching B Building
Yingru LI
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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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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
HyperDQN - Randomized Exploration for Deep Reinforcement Learning
Dec 14, 2021 12:00 AM
NeurIPS 2021
Yingru LI
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