AIMC Topic: Reinforcement Machine Learning

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Shared autonomy between human electroencephalography and TD3 deep reinforcement learning: A multi-agent copilot approach.

Annals of the New York Academy of Sciences Mar 30, 2025
Deep reinforcement learning (RL) algorithms enable the development of fully autonomous agents that can interact with the environment. Brain-computer interface (BCI) systems decipher human implicit brain signals regardless of the explicit environment....
Brain-Computer Interfaces Reinforcement, Psychology Reinforcement Machine Learning Humans Brain Algorithms Deep Learning Electroencephalography
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Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem.

Nature communications Mar 22, 2025
A canonical social dilemma arises when resources are allocated to people, who can either reciprocate with interest or keep the proceeds. The right resource allocation mechanisms can encourage levels of reciprocation that sustain the commons. Here, in...
Resource Allocation Reinforcement, Psychology Reinforcement Machine Learning Game Theory Trust Deep Learning Cooperative Behavior Humans Neural Networks, Computer
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Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 14, 2025
PURPOSE: Patients with locally-advanced head and neck squamous cell carcinomas (HNSCCs), particularly those related to human papillomavirus (HPV), often achieve good locoregional control (LRC), yet they suffer significant toxicities from standard che...
Support Vector Machine Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Reinforcement Machine Learning Deep Learning Humans Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms
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Pixel level deep reinforcement learning for accurate and robust medical image segmentation.

Scientific reports Mar 10, 2025
Existing deep learning methods have achieved significant success in medical image segmentation. However, this success largely relies on stacking advanced modules and architectures, which has created a path dependency. This path dependency is unsustai...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Reinforcement Machine Learning
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Deep reinforcement learning for multi-targets propofol dosing.

Journal of clinical monitoring and computing Mar 6, 2025
The administration of propofol for sedation or general anesthesia presents challenges due to the complex relationship between patient factors and real-time physiological responses. This study explores the application of deep reinforcement learning (D...
Hypnotics and Sedatives Anesthesia, General Electroencephalography Computer Simulation Deep Learning Propofol Anesthetics, Intravenous Heart Rate Arterial Pressure Humans Respiratory Rate Algorithms Reinforcement Machine Learning Consciousness Monitors
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Using deep reinforcement learning to investigate stretch feedback during swimming of the lamprey.

Bioinspiration & biomimetics Mar 5, 2025
Animals have to navigate complex environments and perform intricate swimming maneuvers in the real world. To conquer these challenges, animals evolved a variety of motion control strategies. While it is known that many factors contribute to motion co...
Computer Simulation Biomechanical Phenomena Animals Neural Networks, Computer Swimming Locomotion Reinforcement Machine Learning Deep Learning Robotics Models, Biological Feedback, Sensory Lampreys
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Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning.

Accident; analysis and prevention Mar 4, 2025
Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. This study aims to model the crash avoidance behaviors of vehicles during interactions with pedestrians in near-miss scenarios, contributing to the dev...
Avoidance Learning Unmanned Aerial Devices Models, Theoretical Environment Design Pedestrians Accidents, Traffic Safety Reinforcement Machine Learning Computer Simulation Deep Learning Time Factors Humans Algorithms
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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...
Pattern Recognition, Automated Human Activities Reinforcement, Psychology Reinforcement Machine Learning Humans Neural Networks, Computer Deep Learning
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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 Reinforcement Machine Learning Deep 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...
Humans Radiotherapy Planning, Computer-Assisted Algorithms Reinforcement Machine Learning Tomography, X-Ray Computed Middle Aged Deep Learning Organs at Risk Female Adult Uterine Cervical Neoplasms
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