My research interest includes reinforcement learning and deep learning. I have published 7 papers with total .

🔥 News

📝 Publications

Xiaoyu Gong, Shuai Lü*, Jiayu Yu, Sheng Zhu, Zongze Li. Adaptive estimation Q-learning with uncertainty and familiarity. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 19-25, 2023.
Xiaoyu Gong, Jiayu Yu, Shuai Lü*, Hengwei Lu. Actor-critic with familiarity-based trajectory experience replay. Information Sciences, 2022, 582: 633-647.
Shuai Lü*, Xiaoyu Gong, Zhenghao Zhang, Shuai Han, Junwei Zhang. Survey of deep reinforcement learning methods with evolutionary algorithms. Chinese Journal of Computers, 2021.
Chun Shen, Sheng Zhu, Shuai Han, Xiaoyu Gong, Shuai Lü*. Guided deterministic policy optimization with gradient-free policy parameters information. Expert Systems with Applications, 2023, 231: 120693.
Shuai Han, Wenbo Zhou, Shuai Lü*, Sheng Zhu, Xiaoyu Gong. Entropy regularization methods for parameter space exploration. Information Sciences, 2023, 622: 476-489.
Junwei Zhang, Shuai Lü*, Zhenghao Zhang, Jiayu Yu, Xiaoyu Gong. Survey on Deep Reinforcement Learning Methods Based on Sample Efficiency Optimization. Journal of Software, 2022, 33(11): 4217-4238.
Junjie Li, Junwei Zhang, Xiaoyu Gong, Shuai Lü*. Evolutionary generative adversarial networks with crossover based knowledge distillation. In: Proceedings of the International Joint Conference on Neural Networks, Virtual Event, July 18-22, 2021, 1-8.

2020.09 National Scholarship (Top 1%).
2021.10 Jilin Bank Wang Xianghao Scholarship (Top 1%).
2021.10 The 4th Jilin “Internet+” Innovation and Entrepreneurship Competition - Gold Award