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

2020 ◽  
Vol 53 (2) ◽  
pp. 8070-8075
Author(s):  
Majid Mazouchi ◽  
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

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Yash Khemchandani ◽  
Stephen O’Hagan ◽  
Soumitra Samanta ◽  
Neil Swainston ◽  
Timothy J. Roberts ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Multi Objective ◽  
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Data-driven dynamic resource scheduling for network slicing: A Deep reinforcement learning approach

2019 ◽  
Vol 498 ◽  
pp. 106-116 ◽  
Author(s):  
Haozhe Wang ◽  
Yulei Wu ◽  
Geyong Min ◽  
Jie Xu ◽  
Pengcheng Tang
Keyword(s):  
Reinforcement Learning ◽  
Resource Scheduling ◽  
Data Driven ◽  
Learning Approach ◽  
Network Slicing ◽  
Dynamic Resource
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