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Scenario-Based Marine Oil Spill Emergency Response Using Hybrid Deep Reinforcement Learning and Case-Based Reasoning

机译：基于情景的海洋漏油泄漏应急响应，采用混合深加固学习和基于案例推理

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Kui Huang; Wen Nie; Nianxue Luo;
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1. Deep learning and case-based reasoning for predictive and adaptive traffic emergency management [J] . Louati Ali, Louati Hassen, Li Zhaojian Journal of supercomputing . 2021,第5期

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2. Heuristically Accelerated Reinforcement Learning by Means of Case-Based Reasoning and Transfer Learning [J] . Bianchi Reinaldo A. C., Santos Paulo E., da Silva Isaac J., Journal of Intelligent & Robotic Systems: Theory & Application . 2018,第2期

机译：通过基于案例的推理和转移学习的启发式加速钢筋学习
3. Optimization on Emergency Materials Dispatching Considering the Characteristics of Integrated Emergency Response for Large-Scale Marine Oil Spills [J] . Song Li, Manel Grifoll, Miquel Estrada, Journal of Marine Science and Engineering . 2019,第7期

机译：考虑大规模溢油事故综合应急响应特性的应急物资调度优化
4. A marine oil-spilling emergency auxiliary decision-making system based on case-based reasoning [C] . Liu Jiandao, Zhu Feixiang, Zhang Yingjun, International Conference on Natural Computation . 2013

机译：基于案例推理的海上溢油应急辅助决策系统
5. Protecting marine birds from oil pollution impacts in Japan: An examination of Japan's preparedness and response system for oil spill incidents through comparison with the United States model. [D] . Fries, John Neal. 2002

机译：在日本保护海洋鸟类免受石油污染的影响：通过与美国模型的比较，对日本对溢油事故的防范和响应系统进行了研究。
6. A Deep-Learning Framework for the Detection of Oil Spills from SAR Data [O] . Mohamed Shaban, Reem Salim, Hadil Abu Khalifeh, 2021

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7. AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL [O] . S. T. Yekeen, A.-L. Balogun 2020

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8. Using Case-Based Reasoning as a Reinforcement Learning Framework for Optimizationwith Changing Criteria [R] . Zeng, D., Sycara, K. 1995

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Scenario-Based Marine Oil Spill Emergency Response Using Hybrid Deep Reinforcement Learning and Case-Based Reasoning

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