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Liyu Chen
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2020 – today
- 2024
- [j2]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): 4996 (2024) - [c21]Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang:
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. ICLR 2024 - [i17]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 abs/2403.07191 (2024) - [i16]Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen, Wei Li, Junchao Liu, Jie Hu:
Collaboration of Teachers for Semi-supervised Object Detection. CoRR abs/2405.13374 (2024) - 2023
- [j1]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: 109630 (2023) - [c20]Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric:
Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. ALT 2023: 310-357 - [c19]Fan Zhang
, Liyu Chen
, Xiao Tan
, Yang Li
, Yu Duan
:
Research on sports injury recovery detection based on infrared thermography. ICDLT 2023: 15-20 - [c18]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: 65-70 - [c17]Fan Zhang
, Yang Li
, Yu Duan
, Liyu Chen
, Xiao Tan
:
Research on MEMS sensor-based police physical fitness assistance training system. ICDTE 2023: 78-83 - [c16]Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta:
Layered State Discovery for Incremental Autonomous Exploration. ICML 2023: 4953-5001 - [c15]Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo:
Posterior sampling-based online learning for the stochastic shortest path model. UAI 2023: 922-931 - [i15]Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta:
Layered State Discovery for Incremental Autonomous Exploration. CoRR abs/2302.03789 (2023) - [i14]Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun
, Hongxia Yang:
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis. CoRR abs/2310.03173 (2023) - 2022
- [c14]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: 1041-1061 - [c13]Liyu Chen, Haipeng Luo, Aviv Rosenberg:
Policy Optimization for Stochastic Shortest Path. COLT 2022: 982-1046 - [c12]Liyu Chen, Rahul Jain, Haipeng Luo:
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. ICML 2022: 3204-3245 - [c11]Liyu Chen, Rahul Jain, Haipeng Luo:
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. ICML 2022: 3246-3270 - [c10]Yan Dai, Haipeng Luo, Liyu Chen:
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. NeurIPS 2022 - [c9]Liyu Chen, Haipeng Luo:
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments. NeurIPS 2022 - [i13]Liyu Chen, Rahul Jain, Haipeng Luo:
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. CoRR abs/2202.00150 (2022) - [i12]Liyu Chen, Haipeng Luo, Aviv Rosenberg:
Policy Optimization for Stochastic Shortest Path. CoRR abs/2202.03334 (2022) - [i11]Sébastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha:
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo. CoRR abs/2202.07808 (2022) - [i10]Liyu Chen, Haipeng Luo:
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments. CoRR abs/2205.13044 (2022) - [i9]Yan Dai, Haipeng Luo, Liyu Chen:
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. CoRR abs/2205.13451 (2022) - [i8]Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric:
Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. CoRR abs/2210.04946 (2022) - 2021
- [c8]Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. COLT 2021: 1180-1215 - [c7]Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. COLT 2021: 1216-1259 - [c6]Liyu Chen, Haipeng Luo:
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case. ICML 2021: 1651-1660 - [c5]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: 349-357 - [c4]Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo:
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. NeurIPS 2021: 10849-10861 - [i7]Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications. CoRR abs/2102.01046 (2021) - [i6]Liyu Chen, Haipeng Luo:
Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case. CoRR abs/2102.05284 (2021) - [i5]Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo:
Online Learning for Stochastic Shortest Path Model via Posterior Sampling. CoRR abs/2106.05335 (2021) - [i4]Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo:
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. CoRR abs/2106.08377 (2021) - [i3]Liyu Chen, Rahul Jain, Haipeng Luo:
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. CoRR abs/2112.09859 (2021) - 2020
- [i2]Liyu Chen, Haipeng Luo, Chen-Yu Wei:
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. CoRR abs/2012.04053 (2020)
2010 – 2019
- 2019
- [c3]Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha:
Hyper-parameter Tuning under a Budget Constraint. IJCAI 2019: 5744-5750 - [i1]Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha:
Synthesized Policies for Transfer and Adaptation across Tasks and Environments. CoRR abs/1904.03276 (2019) - 2018
- [c2]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: 355-358 - [c1]Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha:
Synthesize Policies for Transfer and Adaptation across Tasks and Environments. NeurIPS 2018: 1176-1185
Coauthor Index
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last updated on 2024-08-23 18:27 CEST by the dblp team
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