AIMC Topic: Reinforcement Machine Learning

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Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments.

PloS one Apr 16, 2025
Existing research on decision-making of autonomous vehicles (AVs) has mainly focused on normal road sections, with limited exploration of decision-making in complex traffic environments without lane markings. Taking toll plaza diverging area as an ex...
Reinforcement Machine Learning Decision Making Automobiles Automobile Driving Algorithms Computer Simulation Deep Learning Humans
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Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning.

Nature communications Apr 15, 2025
Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of renal cell carcinoma. However, our understanding of ccRCC risk genes remains limited. This gap in knowledge poses challenges to the effective diagnosis and treatment of ccRCC. To a...
Carcinoma, Renal Cell Reinforcement Machine Learning Markov Chains Kidney Neoplasms ErbB Receptors Humans Risk Factors Deep Learning Genetic Predisposition to Disease Computational Biology
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CNRein: an evolution-aware deep reinforcement learning algorithm for single-cell DNA copy number calling.

Genome biology Apr 7, 2025
Low-pass single-cell DNA sequencing technologies and algorithmic advancements have enabled haplotype-specific copy number calling on thousands of cells within tumors. However, measurement uncertainty may result in spurious CNAs inconsistent with real...
Humans Deep Learning Single-Cell Analysis Sequence Analysis, DNA Algorithms Female Breast Neoplasms DNA Copy Number Variations Ovarian Neoplasms 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....
Reinforcement, Psychology Reinforcement Machine Learning Deep Learning Humans Electroencephalography Brain-Computer Interfaces Algorithms Brain
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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...
Humans Neural Networks, Computer Resource Allocation Reinforcement, Psychology Reinforcement Machine Learning Game Theory Trust Deep Learning Cooperative Behavior
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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...
Head and Neck Neoplasms Support Vector Machine Dose Fractionation, Radiation Radiotherapy Planning, Computer-Assisted Humans Reinforcement Machine Learning Deep Learning Squamous Cell Carcinoma of Head and Neck
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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...
Deep Learning Image Processing, Computer-Assisted Reinforcement Machine Learning Humans Algorithms
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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...
Propofol Humans Hypnotics and Sedatives Anesthesia, General Arterial Pressure Electroencephalography Algorithms Respiratory Rate Reinforcement Machine Learning Anesthetics, Intravenous Computer Simulation Consciousness Monitors Heart Rate Deep Learning
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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...
Lampreys Locomotion Reinforcement Machine Learning Feedback, Sensory Robotics Models, Biological Swimming Neural Networks, Computer Computer Simulation Biomechanical Phenomena Animals Deep Learning
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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...
Humans Algorithms Computer Simulation Deep Learning Time Factors Models, Theoretical Unmanned Aerial Devices Safety Environment Design Reinforcement Machine Learning Pedestrians Avoidance Learning Accidents, Traffic
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