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刘云龙
Associate professor
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Paper Publications
[1] LYL,Sequential action-induced invariant representation for reinforcement learning.Neural Networks,2023,179
[2] JGL,LYL.Recent advances in mathematical modeling and simulation of DNA replication process.Current Bioinformatics,8(5):591-602.
[3] LYL.Episodic Reinforcement Learning with Expanded State-reward Space.Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS,2024-May1192-1200.
[4] LYL.Learning Task-relevant Sequence Representations via Intrinsic Dynamics Characteristics in Reinforcement Learning.arXiv,2024,
[5] LYL.Learning task-relevant representations via rewards and real actions for reinforcement learning.Knowledge-Based Systems,2024,294
[6] LYL.EPISODIC REINFORCEMENT LEARNING WITH EXPANDED STATE-REWARD SPACE.arXiv,2024,
[7] LYL.SEQUENTIAL ACTION-INDUCED INVARIANT REPRESENTATION FOR REINFORCEMENT LEARNING.arXiv,2023,
[8] 局部可观测环境下未来信息辅助的无模型深度强化学习.南京大学学报(自然科学),2022,58(05):796-804.
[9] 基于记忆探索策略的有模型深度强化学习算法.微电子学与计算机,2021,38(04):23-28.
[10] 基于循环卷积神经网络的POMDP值迭代算法.计算机工程,2020,47(2):90-94+102.
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