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Shihao Shan, Hongzhen Ni, Xichen Lin and Genfa Chen
As one of the important policy measures to promote water conservation and efficient utilization, the evaluation of water resources tax reform policy regarding its water saving and economic impact (WSEI) is a fundamental prerequisite for policy implementa...
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Phuong D. Ngo, Miguel Tejedor and Fred Godtliebsen
This paper proposes a robust control design method using reinforcement learning for controlling partially-unknown dynamical systems under uncertain conditions. The method extends the optimal reinforcement learning algorithm with a new learning technique ...
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Yefeng Yang, Tao Huang, Xinxin Wang, Chih-Yung Wen and Xianlin Huang
This paper proposes a multi-stage dueling deep Q-network (MS-DDQN) algorithm to address the high-speed aerial vehicle evasion problem. High-speed aerial vehicle pursuit and evasion are an ongoing game attracting significant research attention in the fiel...
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Shaswot Shresthamali, Masaaki Kondo and Hiroshi Nakamura
IoT embedded systems have multiple objectives that need to be maximized simultaneously. These objectives conflict with each other due to limited resources and tradeoffs that need to be made. This requires multi-objective optimization (MOO) and multiple P...
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Giovanni Gatti Pinheiro, Michael Defoin-Platel and Jean-Charles Regin
The accurate estimation of how future demand will react to prices is central to the optimization of pricing decisions. The systems responsible for demand prediction and pricing optimization are called revenue management (RM) systems, and, in the airline ...
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