Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking

Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking

This paper synchronizes control theory with computer vision by formalizing object tracking as a sequential decision-making process. A reinforcement learning (RL) agent successfully tracks an interface between two liquids, which is often a critical variable to track in many chemical, petrochemical, m...

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Bibliographic Details
Main Authors: Oguzhan Dogru, Kirubakaran Velswamy, Biao Huang
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Engineering
Subjects:
Interface tracking
Object tracking
Occlusion
Reinforcement learning
Uniform manifold approximation and projection
Online Access:http://www.sciencedirect.com/science/article/pii/S209580992100326X

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http://www.sciencedirect.com/science/article/pii/S209580992100326X

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