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Transferable Reinforcement Learning for Smart Homes: Preprint
Xiangyu Zhang
,
Xin Jin
, Charles Tripp
, David Biagioni
,
Peter Graf
, Huaiguang Jiang
Computational Science
Building Technologies and Science Center
Power Systems Engineering
Research output
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Dive into the research topics of 'Transferable Reinforcement Learning for Smart Homes: Preprint'. Together they form a unique fingerprint.
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Economics, Econometrics and Finance
Pricing
100%
Sequential Decision Making
100%
Scheduling Problem
100%
User Preference
100%
Smart Grid
100%
Engineering
Reinforcement Learning
100%
Smart Home
100%
Transfer Learning
37%
Learning Control
25%
Simulation Result
12%
Demand Side
12%
Implementation Cost
12%
Effective Approach
12%
Computing Time
12%
Dynamic Pricing
12%
Making Problem
12%
Optimal Policy
12%
Smart Grid
12%
Computer Science
Reinforcement Learning
100%
Transfer Learning
37%
Scheduling Problem
12%
User Preference
12%
Sequential Decision Making
12%
Outstanding Performance
12%
Effective Approach
12%
Dynamic Pricing
12%
Smart Grid
12%
Psychology
Smart Home
100%
Learning Transfer
75%
Decision Making
25%
Chemical Engineering
Reinforcement Learning
100%