AIMC Topic: Reinforcement Machine Learning

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Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Human activity recognition (HAR) is a popular research field in computer vision that has already been widely studied. However, it is still an active research field since it plays an important role in many current and emerging real-world intelligent s...
Reinforcement Machine Learning Neural Networks, Computer Deep Learning Human Activities Reinforcement, Psychology Pattern Recognition, Automated Humans
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SmartAPM framework for adaptive power management in wearable devices using deep reinforcement learning.

Scientific reports Feb 26, 2025
Wearable devices face a significant challenge in balancing battery life with performance, often leading to frequent recharging and reduced user satisfaction. In this paper, we introduce the SmartAPM (Smart Adaptive Power Management) framework, a nove...
Wearable Electronic Devices Humans Electric Power Supplies Algorithms Deep Learning Reinforcement Machine Learning
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Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy.

Scientific reports Feb 25, 2025
This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm incorporating the segment anything model (SAM) to enhance the accuracy of automatic contouring organs at risk during radiotherapy for cervical cancer...
Adult Uterine Cervical Neoplasms Middle Aged Tomography, X-Ray Computed Female Radiotherapy Planning, Computer-Assisted Reinforcement Machine Learning Deep Learning Organs at Risk Humans Algorithms
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Multi-agent deep reinforcement learning-based robotic arm assembly research.

PloS one Feb 18, 2025
Due to the complexity and variability of application scenarios and the increasing demands for assembly, single-agent algorithms often face challenges in convergence and exhibit poor performance in robotic arm assembly processes. To address these issu...
Reinforcement, Psychology Reinforcement Machine Learning Computer Simulation Deep Learning Robotics Humans Algorithms
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Determining human resource management key indicators and their impact on organizational performance using deep reinforcement learning.

Scientific reports Feb 17, 2025
Performance-related indicators are crucial for evaluating and forecasting performance, enhancing decision-making efficiency, and establishing sustainable growth strategies. They motivate individuals and organizations, increase transparency, and accur...
Humans Efficiency, Organizational Reinforcement Machine Learning Neural Networks, Computer Deep Learning
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A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data.

IEEE journal of biomedical and health informatics Feb 10, 2025
The machine learning-based model is a promising paradigm for predicting invasive disease events (iDEs) in breast cancer. Feature selection (FS) is an essential preprocessing technique employed to identify the pertinent features for the prediction mod...
Humans Prognosis Breast Neoplasms Neoplasm Invasiveness Female Datasets as Topic Reinforcement Machine Learning
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A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

Medical & biological engineering & computing Jan 31, 2025
The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and plaques. Discrete-action-based centerline extraction methods suffer from artifacts and plaques. This study aimed to develop a continuous-action-based...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Coronary Vessels Computed Tomography Angiography Reinforcement Machine Learning Coronary Artery Disease Coronary Angiography Artifacts
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Automating the optimization of proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning.

Medical physics Jan 31, 2025
BACKGROUND: Proton pencil beam scanning (PBS) treatment planning for head and neck (H&N) cancers is a time-consuming and experience-demanding task where a large number of potentially conflicting planning objectives are involved. Deep reinforcement le...
Automation Radiotherapy Dosage Proton Therapy Organs at Risk Radiotherapy Planning, Computer-Assisted Reinforcement Machine Learning Deep Learning Head and Neck Neoplasms Humans
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A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning.

PloS one Jan 27, 2025
Patients with type 1 diabetes and their physicians have long desired a fully closed-loop artificial pancreas (AP) system that can alleviate the burden of blood glucose regulation. Although deep reinforcement learning (DRL) methods theoretically enabl...
Insulin Infusion Systems Pancreas, Artificial Hypoglycemic Agents Hypoglycemia Reinforcement Machine Learning Insulin Diabetes Mellitus, Type 1 Algorithms Deep Learning Blood Glucose Humans
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Breast radiation therapy fluence painting with multi-agent deep reinforcement learning.

Medical physics Jan 23, 2025
BACKGROUND: The electronic compensation (ECOMP) technique for breast radiation therapy provides excellent dose conformity and homogeneity. However, the manual fluence painting process presents a challenge for efficient clinical operation.
Retrospective Studies Female Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Reinforcement Machine Learning Breast Neoplasms Deep Learning
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