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Journal Articles
- 2024
[j8]Longfei Zhang
, Yulong Zhang, Shixuan Liu, Li Chen, Xingxing Liang, Guangquan Cheng, Zhong Liu:
ORAD: a new framework of offline Reinforcement Learning with Q-value regularization. Evol. Intell. 17(1): 339-347 (2024)- [j7]Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, Qiguang Miao:
Deep Reinforcement Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5064-5078 (2024) - 2023
- [j6]Xingxing Liang, Jinsheng Xie, Zhiqiang Miao, Yue Xu, Yanghe Feng:
Two parameter generalized entropy of uncertain random variables and its application. J. Ambient Intell. Humaniz. Comput. 14(12): 16337-16346 (2023) - [j5]Li Chen, Xingxing Liang, Yanghe Feng, Longfei Zhang, Jing Yang, Zhong Liu:
Online Intention Recognition With Incomplete Information Based on a Weighted Contrastive Predictive Coding Model in Wargame. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7515-7528 (2023) - 2022
- [j4]Zeyi Liu, Yuan Wang, Xingxing Liang, Yang Ma, Yanghe Feng, Guangquan Cheng, Zhong Liu:
A graph neural networks-based deep Q-learning approach for job shop scheduling problems in traffic management. Inf. Sci. 607: 1211-1223 (2022) - [j3]Xingxing Liang, Yang Ma, Guangquan Cheng, Changjun Fan, Yuling Yang, Zhong Liu:
Meta-path-based heterogeneous graph neural networks in academic network. Int. J. Mach. Learn. Cybern. 13(6): 1553-1569 (2022) - [j2]Yang Ma, Yan Li, Xingxing Liang, Guangquan Cheng, Yanghe Feng, Zhong Liu:
Graph autoencoder for directed weighted network. Soft Comput. 26(3): 1217-1230 (2022) - 2021
- [j1]Xingxing Liang, Li Chen, Yanghe Feng, Zhong Liu, Yang Ma, Kuihua Huang:
A Novel Adaptive Sampling Strategy for Deep Reinforcement Learning. Int. J. Comput. Intell. Appl. 20(2): 2150011:1-2150011:20 (2021)
Conference and Workshop Papers
- 2020
- [c4]Yanghui Fu, Xingxing Liang, Yang Ma, Kuihua Huang, Yan Li:
Coordinating Multi-Agent Deep Reinforcement Learning in Wargame. ACAI 2020: 5:1-5:5 - [c3]Yang Ma, Guangquan Cheng, Xingxing Liang, Yuan Wang, Yuzhen Zhou:
Heterogeneous Graph Neural Networks Based on Meta-path. ACAI 2020: 14:1-14:4 - 2017
- [c2]Yang Ma, Xingxing Liang, Jincai Huang, Guangquan Cheng:
Intercity Transportation Construction Based on Link Prediction. ICTAI 2017: 1135-1138 - 2016
- [c1]Yang Ma, Guangquan Cheng, Zhong Liu, Xingxing Liang:
Link Prediction Based on Clustering Information in Scientific Coauthorship Networks. DSC 2016: 668-672
Informal and Other Publications
- 2024
- [i4]Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen:
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? CoRR abs/2405.12094 (2024) - [i3]Wumei Du, Qi Wang, Yiqin Lv, Dong Liang, Guanlin Wu, Xingxing Liang, Zheng Xie:
Group Distributionally Robust Optimization can Suppress Class Imbalance Effect in Network Traffic Classification. CoRR abs/2409.19214 (2024) - 2021
- [i2]Xingxing Liang, Yang Ma, Yanghe Feng, Zhong Liu:
PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay. CoRR abs/2112.03798 (2021) - 2018
- [i1]Xingxing Liang, Qi Wang, Yang-He Feng, Zhong Liu, Jincai Huang:
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control. CoRR abs/1812.09968 (2018)
Coauthor Index
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last updated on 2024-10-22 21:15 CEST by the dblp team
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