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2021 ◽  
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Yuntian Deng ◽  
Hao Chen ◽  
Shiping Shao ◽  
Jiacheng Tang ◽  
Jianzong Pi ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Multi Objective

scholarly journals Data-driven dynamic multi-objective optimal control: A Hamiltonian-inequality driven satisficing reinforcement learning approach

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Vol 53 (2) ◽  
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Yongliang Yang ◽  
Hamidreza Modares
Keyword(s):  
Optimal Control ◽  
Reinforcement Learning ◽  
Data Driven ◽  
Learning Approach ◽  
Multi Objective

scholarly journals DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

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Author(s):  
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Stephen O’Hagan ◽  
Soumitra Samanta ◽  
Neil Swainston ◽  
Timothy J. Roberts ◽  
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Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Multi Objective ◽  
Computational Strategy

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach

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Fuhong Song ◽  
Huanlai Xing ◽  
Xinhan Wang ◽  
Shouxi Luo ◽  
Penglin Dai ◽  
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Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Learning Approach ◽  
Multi Objective ◽  
Multi Access ◽  
Dependent Tasks

scholarly journals Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes

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Yoni Birman ◽  
Ziv Ido ◽  
Gilad Katz ◽  
Asaf Shabtai
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Multi Objective

A reinforcement learning approach for dynamic multi-objective optimization

2021 ◽  
Vol 546 ◽  
pp. 815-834 ◽  
Author(s):  
Fei Zou ◽  
Gary G. Yen ◽  
Lixin Tang ◽  
Chunfeng Wang
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Multi Objective Optimization ◽  
Multi Objective
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