Yu Chen

According to our database, Yu Chen authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Continuous K-Max Bandits.

Yu Chen, Siwei Wang, Longbo Huang, Wei Chen

CoRR, February, 2025

Finite-Time Analysis of Discrete-Time Stochastic Interpolants.

Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang

CoRR, February, 2025

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs.

Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Multi-User Delay-Constrained Scheduling With Deep Recurrent Reinforcement Learning.

Pihe Hu, Yu Chen, Ling Pan, Zhixuan Fang, Fu Xiao, Longbo Huang

IEEE/ACM Trans. Netw., June, 2024

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation.

Tonghe Zhang, Yu Chen, Longbo Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation.

Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback.

Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs.

Pihe Hu, Yu Chen, Longbo Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning.

Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation.

Pihe Hu, Yu Chen, Longbo Huang

Proceedings of the International Conference on Machine Learning, 2022

2019

Catching Escapers: A Detection Method for Advanced Persistent Escapers in Industry Internet of Things Based on Identity-based Broadcast Encryption (IBBE).

Letian Sha, Fu Xiao, Haiping Huang, Yu Chen, Ruchuan Wang

ACM Trans. Embed. Comput. Syst., 2019