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2020 – today
- 2024
[c1]Zixiang Wang
, Hao Yan, Changsong Wei, Junyu Wang, Shi Bo, Minheng Xiao:
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning. IoTML 2024: 211-215- [i7]Minheng Xiao, Xian Yu, Lei Ying:
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence. CoRR abs/2405.14749 (2024) - [i6]Minheng Xiao, Shi Bo, Zhizhong Wu:
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems. CoRR abs/2408.00241 (2024) - [i5]Zixiang Wang, Hao Yan, Changsong Wei, Junyu Wang, Shi Bo, Minheng Xiao:
Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning. CoRR abs/2408.03084 (2024) - [i4]Shi Bo, Minheng Xiao:
Root Cause Attribution of Delivery Risks via Causal Discovery with Reinforcement Learning. CoRR abs/2408.05860 (2024) - [i3]Minheng Xiao, Shi Bo:
Electroencephalogram Emotion Recognition via AUC Maximization. CoRR abs/2408.08979 (2024) - [i2]Hongye Zheng, Bingxing Wang, Minheng Xiao, Honglin Qin, Zhizhong Wu, Lianghao Tan:
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function. CoRR abs/2408.11839 (2024) - [i1]Yuxin Dong, Jianhua Yao, Jiajing Wang, Yingbin Liang, Shuhan Liao, Minheng Xiao:
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks. CoRR abs/2409.09892 (2024)
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