Trust-Based Social Networks with Computing, Caching and Communications: A Deep Reinforcement Learning Approach

2020 ◽  
Vol 7 (1) ◽  
pp. 66-79 ◽  
Author(s):  
Ying He ◽  
Chengchao Liang ◽  
F. Richard Yu ◽  
Zhu Han
Keyword(s):  
Social Networks ◽  
Reinforcement Learning ◽  
Learning Approach

scholarly journals A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence

2020 ◽  
Vol 34 (10) ◽  
pp. 13734-13735
Author(s):  
Patrick Shepherd ◽  
Judy Goldsmith
Keyword(s):  
Social Networks ◽  
Reinforcement Learning ◽  
Social Influence ◽  
Learning Approach ◽  
Interpersonal Influence ◽  
Learning Problem ◽  
Preliminary Results ◽  
Opinion Change ◽  
The Past ◽  
Recent Interest

The study of social networks has increased rapidly in the past few decades. Of recent interest are the dynamics of changing opinions over a network. Some research has investigated how interpersonal influence can affect opinion change, how to maximize/minimize the spread of opinion change over a network, and recently, if/how agents can act strategically to effect some outcome in the network's opinion distribution. This latter problem can be modeled and addressed as a reinforcement learning problem; we introduce an approach to help network agents find strategies that outperform hand-crafted policies. Our preliminary results show that our approach is promising in networks with dynamic topologies.

Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach

2020 ◽  
Vol 17 (10) ◽  
pp. 129-141
Author(s):  
Yiwen Nie ◽  
Junhui Zhao ◽  
Jun Liu ◽  
Jing Jiang ◽  
Ruijin Ding
Keyword(s):  
Reinforcement Learning ◽  
Energy Efficient ◽  
Learning Approach ◽  
Trajectory Design ◽  
Backscatter Communication

Attentional Shifting and Curiosity: a Reinforcement Learning Approach

2016 ◽  
Author(s):  
Dario di Nocera ◽  
Alberto Finzi ◽  
Silvia Rossi ◽  
Mariacarla Staffa
Keyword(s):  
Reinforcement Learning ◽  
Learning Approach ◽  
Attentional Shifting

scholarly journals Modelling, Detecting and Mitigating Threats against Industrial Healthcare Systems: A combined SDN and Reinforcement Learning Approach

2021 ◽  
pp. 1-1
Author(s):  
Panagiotis Radoglou-Grammatikis ◽  
Konstantinos Robolos ◽  
Panagiotis Sarigiannidis ◽  
Vasileios Argyriou ◽  
Thomas Lagkas ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Healthcare Systems ◽  
Learning Approach
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