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Self-Supervise Reinforcement Learning Method for Vacant Parking Space Detection Based on Task Consistency and Corrupted Rewards
Manh Hung Nguyen
, Tzu Yin Chao
, Ching Chun Hsiao
, Yung Hui Li
,
Ching Chun Huang
*
*
此作品的通信作者
資訊科學與工程研究所
資訊工程學系
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引文 斯高帕斯(Scopus)
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Keyphrases
Reinforcement Learning Algorithm
100%
Vacant Space
100%
Vacant Parking Space Detection
100%
Self-supervision
100%
Learning Methods
66%
Semantic Consistency
66%
Space Detectors
66%
Consistency Learning
66%
Symmetric Constraint
66%
Performance Improvement
33%
Detection Method
33%
False Detection
33%
Flow-based
33%
Task-oriented
33%
Motion Behavior
33%
Reinforcement Learning
33%
Parking Lot
33%
Training Loss
33%
Training Samples
33%
Reward System
33%
Detection Network
33%
Dynamic Learning
33%
Target Network
33%
Ability to Learn
33%
Subspace Detection
33%
Learning Settings
33%
Network Target
33%
Human-induced Loads
33%
Computer Science
Reinforcement Learning
100%
Parking Space Detection
100%
Network Target
100%
Semantic Consistency
100%
Detection Method
50%
Training Sample
50%
Motion Behavior
50%