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AUTHOR = "Hwang, R. and Lee, H.J. and Hwang, H.J.",
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AUTHOR = "Nicholaus, I.T. and Kang, D.K.",
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AUTHOR = "Wang, J. and Zhang, L. and He, Z.Q. and Zhu, C. and Zhao, Z.H.",
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AUTHOR = "Li, M. and Huang, T.Y. and Zhu, W.",
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AUTHOR = "Tosatto, S. and Carvalho, J. and Peters, J.",
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AUTHOR = "Xu, T. and Li, Z.N. and Yu, Y.",
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AUTHOR = "Akrour, R. and Tateo, D. and Peters, J.",
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AUTHOR = "Zhang, M.Y. and Tian, G.H. and Gao, H.B. and Zhang, Y.",
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AUTHOR = "Zhu, R. and Li, M.Y. and Liu, H. and Liu, L. and Ma, M.",
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AUTHOR = "Hu, T.M. and Luo, B. and Yang, C.H. and Huang, T.W.",
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Reinforcement Learning and Multiple Subset Evaluation Strategies",
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YEAR = "2023",
NUMBER = "1",
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BIBSOURCE = "http://www.visionbib.com/bibliography/pattern617rei5.html#TT141298"}
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AUTHOR = "Huang, F.X. and Ji, N. and Ni, H.J. and Li, S.J. and Li, X.",
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AUTHOR = "Huang, F.X. and Li, W.C. and Cui, J.B. and Fu, Y.J. and Li, X.",
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AUTHOR = "Gomez, D. and Quijano, N. and Giraldo, L.F.",
TITLE = "Information Optimization and Transferable State Abstractions in Deep
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JOURNAL = PAMI,
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AUTHOR = "Zhu, Z.D. and Lin, K.X. and Jain, A.K. and Zhou, J.",
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AUTHOR = "Saengkyongam, S. and Thams, N. and Peters, J. and Pfister, N.",
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AUTHOR = "Huang, H.C. and Ye, D.H. and Shen, L. and Liu, W.",
TITLE = "Curriculum-Based Asymmetric Multi-Task Reinforcement Learning",
JOURNAL = PAMI,
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NUMBER = "6",
MONTH = "June",
PAGES = "7258-7269",
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AUTHOR = "Zhang, T.R. and Guo, S.Q. and Tan, T. and Hu, X.L. and Chen, F.",
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JOURNAL = PAMI,
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YEAR = "2023",
NUMBER = "4",
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PAGES = "4152-4166",
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AUTHOR = "Deng, Z.H. and Fu, Z. and Wang, L.X. and Yang, Z.R. and Bai, C.J. and Zhou, T.Y. and Wang, Z.R. and Jiang, J.",
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NUMBER = "2",
MONTH = "February",
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AUTHOR = "Zhang, L.Y. and Peng, Y. and Yang, W.H. and Zhang, Z.H.",
TITLE = "Semi-Infinitely Constrained Markov Decision Processes and Provably
Efficient Reinforcement Learning",
JOURNAL = PAMI,
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NUMBER = "5",
MONTH = "May",
PAGES = "3722-3735",
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AUTHOR = "Rodrigues da Silva, J.A. and Grassi, V. and Wolf, D.F.",
TITLE = "Maximum Entropy Inverse Reinforcement Learning Using Monte Carlo Tree
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JOURNAL = ITS,
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NUMBER = "9",
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TITLE = "QFAE: Q-Function guided Action Exploration for offline deep
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AUTHOR = "Zheng, W.Q. and Sharan, S.P. and Fan, Z.W. and Wang, K. and Xi, Y.H. and Wang, Z.Y.",
TITLE = "Symbolic Visual Reinforcement Learning: A Scalable Framework With
Object-Level Abstraction and Differentiable Expression Search",
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AUTHOR = "Liu, Y.Q. and Zhao, T.Y. and Shou, G. and Zhang, Y.",
TITLE = "Joint Optimization of Latency and Energy Consumption via Deep
Reinforcement Learning for Proximity Detection in Road Networks",
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AUTHOR = "Lee, S.H. and Jung, Y. and Seo, S.W.",
TITLE = "Imagination-Augmented Hierarchical Reinforcement Learning for Safe
and Interactive Autonomous Driving in Urban Environments",
JOURNAL = ITS,
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