Tian Tan

According to our database, Tian Tan authored at least 11 papers between 2014 and 2023.

Collaborative distances:

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

2023

Partial Consistency for Stabilizing Undiscounted Reinforcement Learning.

Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning.

Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

2021

Robust dialog state tracker with contextual-feature augmentation.

Xuejun Zhang, Xuemin Zhao, Tian Tan

Appl. Intell., 2021

2020

Generative Memory for Lifelong Learning.

Xin Su, Shangqi Guo, Tian Tan, Feng Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control.

Tian Tan, Feng Bao, Yue Deng, Alex Jin, Qionghai Dai, Jie Wang

IEEE Trans. Cybern., 2020

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.

Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning.

Haichuan Gao, Zhile Yang, Xin Su, Tian Tan, Feng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multi-Agent Bootstrapped Deep Q-Network for Large-Scale Traffic Signal Control.

Tian Tan, Tianshu Chu, Jie Wang

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning.

Tian Tan, Zhihan Xiong, Vikranth R. Dwaracherla

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2016

Large-Scale Traffic Grid Signal Control Using Decentralized Fuzzy Reinforcement Learning.

Tian Tan, Tianshu Chu, Bo Peng, Jie Wang

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

2014

Comuptional reasoning and learning for smart manufacturing under realistic conditions.

Shuhui Qu, Raymond Jian, Tianshu Chu, Jie Wang, Tian Tan

Proceedings of the 2014 International Conference on Behavioral, 2014