Yuan Tian

According to our database, Yuan Tian authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM.

Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao

CoRR, September, 2025

2024

Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making.

Yuan Tian, Wenqi Zhou, Hao Dong, David S. Kammer, Olga Fink

CoRR, 2024

2023

Multi-agent actor-critic with time dynamical opponent model.

Yuan Tian, Klaus-Rudolf Kladny, Qin Wang, Zhiwu Huang, Olga Fink

Neurocomputing, 2023

2022

A prescriptive Dirichlet power allocation policy with deep reinforcement learning.

Yuan Tian, Minghao Han, Chetan S. Kulkarni, Olga Fink

Reliab. Eng. Syst. Saf., 2022

2021

Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee.

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

Autom., 2021

2020

Battery Model Calibration with Deep Reinforcement Learning.

Ajaykumar Unagar, Yuan Tian, Manuel Arias Chao, Olga Fink

CoRR, 2020

Real-Time Model Calibration with Deep Reinforcement Learning.

Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, Olga Fink

CoRR, 2020

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search.

Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

H_∞ Model-free Reinforcement Learning with Robust Stability Guarantee.

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

CoRR, 2019