Qiangxing Tian

According to our database, Qiangxing Tian authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning.

Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning.

Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian

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

Unsupervised Discovery of Transitional Skills for Deep Reinforcement Learning.

Qiangxing Tian, Jinxin Liu, Guanchu Wang, Donglin Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Multivariate Time Series Prediction with PID-based Residual Compensation.

Jinxin Liu, Qiangxing Tian, Donglin Wang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Independent Skill Transfer for Deep Reinforcement Learning.

Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Preferential Experience Collection with Frequency based Intrinsic Reward for Deep Reinforcement Learning.

Hongyin Zhang, Qiangxing Tian, Donglin Wang, Kaichen Wei

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

Time Series Prediction with Interpretable Data Reconstruction.

Qiangxing Tian, Jinxin Liu, Donglin Wang, Ao Tang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019