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刘云龙
Associate professor
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[11] 基于循环卷积神经网络的POMDP值迭代算法.计算机工程,2020,6.
[12] LYL,预测状态表示模型的复位算法.计算机学报,(5):222-227.
[13] LYL,基于CMAC网络Sarsa(λ)学习的RoboCup守门员策略.北京工业大学学报,(9):74-78.
[14] LYL.Balancing exploration and exploitation in episodic reinforcement learning.Expert Systems with Applications,2023,231
[15] LYL,Sequential Decision Making with "Sequential Information" in Deep Reinforcement Learning.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),13631 LNCS173-184.
[16] LYL,The treatment of sepsis: an episodic memory-assisted deep reinforcement learning approach.APPLIED INTELLIGENCE,2021,
[17] LYL.Hard Negative Sample Mining for Contrastive Representation in Reinforcement Learning.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),13281 LNAI277-288.
[18] LYL.Deep Q-Network with Predictive State Models in Partially Observable Domains.Mathematical Problems in Engineering,2020
[19] LYL,Attention-based deep Q-network in complex systems.Communications in Computer and Information Science,1142 CCIS323-332.
[20] LYL,An improved relief feature selection algorithm based on Monte-Carlo tree search.Systems Science and Control Engineering,2019,7(1):304-310.
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