Liyu Chen

According to our database, Liyu Chen authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model.

Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang

CoRR, 2024

2023

Comparison of different taxation models on cross-border supply chain decisions: Considering disruption forecast and cost differences.

Wei Li, Meng Tong, Haotian Lei, Liyu Chen

Comput. Ind. Eng., November, 2023

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis.

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

CoRR, 2023

Posterior sampling-based online learning for the stochastic shortest path model.

Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Layered State Discovery for Incremental Autonomous Exploration.

Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta

Proceedings of the International Conference on Machine Learning, 2023

Research on MEMS sensor-based police physical fitness assistance training system.

Fan Zhang, Yang Li, Yu Duan, Liyu Chen, Xiao Tan

Proceedings of the 7th International Conference on Digital Technology in Education, 2023

Optimal control system for safety angle of human ankle joint during sports training.

Fan Zhang, Xiao Tan, Liyu Chen, Yang Li, Yu Duan

Proceedings of the 7th International Conference on Deep Learning Technologies, 2023

Research on sports injury recovery detection based on infrared thermography.

Fan Zhang, Liyu Chen, Xiao Tan, Yang Li, Yu Duan

Proceedings of the 7th International Conference on Deep Learning Technologies, 2023

Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path.

Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints.

Liyu Chen, Rahul Jain, Haipeng Luo

CoRR, 2022

Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments.

Liyu Chen, Haipeng Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback.

Yan Dai, Haipeng Luo, Liyu Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Infinite-horizon Average-reward Markov Decision Process with Constraints.

Liyu Chen, Rahul Jain, Haipeng Luo

Proceedings of the International Conference on Machine Learning, 2022

Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP.

Liyu Chen, Rahul Jain, Haipeng Luo

Proceedings of the International Conference on Machine Learning, 2022

Policy Optimization for Stochastic Shortest Path.

Liyu Chen, Haipeng Luo, Aviv Rosenberg

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Policy Learning and Evaluation with Randomized Quasi-Monte Carlo.

Sébastien M. R. Arnold, Pierre L'Ecuyer, Liyu Chen, Yi-Fan Chen, Fei Sha

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Online Learning for Stochastic Shortest Path Model via Posterior Sampling.

Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo

CoRR, 2021

Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path.

Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Hierarchical Visual-Semantic Representation with Phrase Alignment.

Baoming Yan, Qingheng Zhang, Liyu Chen, Lin Wang, Leihao Pei, Jiang Yang, Enyun Yu, Xiaobo Li, Binqiang Zhao

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case.

Liyu Chen, Haipeng Luo

Proceedings of the 38th International Conference on Machine Learning, 2021

Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications.

Liyu Chen, Haipeng Luo, Chen-Yu Wei

Proceedings of the Conference on Learning Theory, 2021

Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition.

Liyu Chen, Haipeng Luo, Chen-Yu Wei

Proceedings of the Conference on Learning Theory, 2021

2019

Synthesized Policies for Transfer and Adaptation across Tasks and Environments.

Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha

CoRR, 2019

Hyper-parameter Tuning under a Budget Constraint.

Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Synthesize Policies for Transfer and Adaptation across Tasks and Environments.

Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Reform and Innovation of Multiform Practical Teaching in Chemical Engineering.

Yuqi Wang, Yarnan Li, Fusheng Yang, Xiaoling Zhao, Xiaolong Han, Binxia Zhao, Liyu Chen, Zhen Wu, Xiaoxun Ma

Proceedings of the 1st IEEE International Conference on Knowledge Innovation and Invention, 2018