Liyu Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 40

Top Topics

Markov Decision Process

Online Learning

Stochastic Shortest Path

Top Venues

Publications

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. ICLR (2024)
Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang
(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR (2024)
Na Su, Haojin Jia, Liyu Chen, Jiayou Wang, Jie Wang, Youmin Song
Passive Vision Detection of Torch Pose in Swing Arc Narrow Gap Welding. Sensors 24 (15) (2024)
Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen, Wei Li, Junchao Liu, Jie Hu
Collaboration of Teachers for Semi-supervised Object Detection. CoRR (2024)
Wei Li, Meng Tong, Haotian Lei, Liyu Chen
Comparison of different taxation models on cross-border supply chain decisions: Considering disruption forecast and cost differences. Comput. Ind. Eng. 185 (2023)
Fan Zhang, Liyu Chen, Xiao Tan, Yang Li, Yu Duan
Research on sports injury recovery detection based on infrared thermography. ICDLT (2023)
Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. ALT (2023)
Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo
Posterior sampling-based online learning for the stochastic shortest path model. UAI (2023)
Fan Zhang, Yang Li, Yu Duan, Liyu Chen, Xiao Tan
Research on MEMS sensor-based police physical fitness assistance training system. ICDTE (2023)
Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta
Layered State Discovery for Incremental Autonomous Exploration. ICML (2023)
Fan Zhang, Xiao Tan, Liyu Chen, Yang Li, Yu Duan
Optimal control system for safety angle of human ankle joint during sports training. ICDLT (2023)
Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. CoRR (2023)
Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta
Layered State Discovery for Incremental Autonomous Exploration. CoRR (2023)
Liyu Chen, Rahul Jain, Haipeng Luo
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. ICML (2022)
Liyu Chen, Haipeng Luo, Aviv Rosenberg
Policy Optimization for Stochastic Shortest Path. CoRR (2022)
Liyu Chen, Rahul Jain, Haipeng Luo
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. CoRR (2022)
Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. CoRR (2022)
Liyu Chen, Haipeng Luo, Aviv Rosenberg
Policy Optimization for Stochastic Shortest Path. COLT (2022)
Liyu Chen, Rahul Jain, Haipeng Luo
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. ICML (2022)
Sébastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. AISTATS (2022)
Yan Dai, Haipeng Luo, Liyu Chen
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. CoRR (2022)
Yan Dai, Haipeng Luo, Liyu Chen
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. NeurIPS (2022)
Liyu Chen, Haipeng Luo
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments. CoRR (2022)
Sébastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. CoRR (2022)
Liyu Chen, Haipeng Luo
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments. NeurIPS (2022)
Liyu Chen, Rahul Jain, Haipeng Luo
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. CoRR (2021)
Liyu Chen, Haipeng Luo
Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case. CoRR (2021)
Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo
Online Learning for Stochastic Shortest Path Model via Posterior Sampling. CoRR (2021)
Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. NeurIPS (2021)
Liyu Chen, Haipeng Luo, Chen-Yu Wei
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. COLT (2021)
Liyu Chen, Haipeng Luo, Chen-Yu Wei
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. COLT (2021)
Liyu Chen, Haipeng Luo
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case. ICML (2021)
Liyu Chen, Haipeng Luo, Chen-Yu Wei
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. CoRR (2021)
Baoming Yan, Qingheng Zhang, Liyu Chen, Lin Wang, Leihao Pei, Jiang Yang, Enyun Yu, Xiaobo Li, Binqiang Zhao
Learning Hierarchical Visual-Semantic Representation with Phrase Alignment. ICMR (2021)
Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. CoRR (2021)
Liyu Chen, Haipeng Luo, Chen-Yu Wei
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. CoRR (2020)
Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha
Hyper-parameter Tuning under a Budget Constraint. IJCAI (2019)
Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha
Synthesized Policies for Transfer and Adaptation across Tasks and Environments. CoRR (2019)
Yuqi Wang, Yarnan Li, Fusheng Yang, Xiaoling Zhao, Xiaolong Han, Binxia Zhao, Liyu Chen, Zhen Wu, Xiaoxun Ma
Reform and Innovation of Multiform Practical Teaching in Chemical Engineering. ICKII (2018)
Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha
Synthesize Policies for Transfer and Adaptation across Tasks and Environments. NeurIPS (2018)