AIMC Topic: Reinforcement Machine Learning

Clear Filters Showing 21 to 30 of 39 articles

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...
Proton Therapy Reinforcement Machine Learning Automation Radiotherapy Dosage Head and Neck Neoplasms Humans Deep Learning Organs at Risk Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

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...
Algorithms Deep Learning Insulin Diabetes Mellitus, Type 1 Blood Glucose Humans Reinforcement Machine Learning Insulin Infusion Systems Hypoglycemic Agents Pancreas, Artificial Hypoglycemia
View on PubMed DOI

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.
Radiotherapy Dosage Reinforcement Machine Learning Retrospective Studies Female Humans Breast Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Optimizing Biomimetic 3D Disordered Fibrous Network Structures for Lightweight, High-Strength Materials via Deep Reinforcement Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 23, 2025
3D disordered fibrous network structures (3D-DFNS), such as cytoskeletons, collagen matrices, and spider webs, exhibit remarkable material efficiency, lightweight properties, and mechanical adaptability. Despite their widespread in nature, the integr...
Molecular Dynamics Simulation Biomimetics Reinforcement Machine Learning Biomimetic Materials Animals Deep Learning Silk
View on PubMed DOI

Simulating fish autonomous swimming behaviours using deep reinforcement learning based on Kolmogorov-Arnold Networks.

Bioinspiration & biomimetics Jan 16, 2025
The study of fish swimming behaviours and locomotion mechanisms holds significant scientific and engineering value. With the rapid advancements in artificial intelligence, a new method combining deep reinforcement learning (DRL) with computational fl...
Reinforcement Machine Learning Hydrodynamics Reinforcement, Psychology Fishes Computer Simulation Neural Networks, Computer Swimming Deep Learning Artificial Intelligence Animals
View on PubMed DOI

Novel deep reinforcement learning based collision avoidance approach for path planning of robots in unknown environment.

PloS one Jan 16, 2025
Reinforcement learning is a remarkable aspect of the artificial intelligence field with many applications. Reinforcement learning facilitates learning new tasks based on action and reward principles. Motion planning addresses the navigation problem f...
Deep Learning Robotics Reinforcement, Psychology Artificial Intelligence Algorithms Reinforcement Machine Learning Humans
View on PubMed DOI

Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent.

PloS one Jan 16, 2025
Financial portfolio management investment policies computed quantitatively by modern portfolio theory techniques like the Markowitz model rely on a set of assumptions that are not supported by data in high volatility markets such as the technological...
Deep Learning Financial Management Models, Economic Humans Algorithms Reinforcement Machine Learning Investments Reinforcement, Psychology
View on PubMed DOI

Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning.

IEEE transactions on bio-medical engineering Jan 15, 2025
OBJECTIVE: The artificial pancreas (AP) shows promise for closed-loop glucose control in type 1 diabetes mellitus (T1DM). However, designing effective control policies for the AP remains challenging due to complex physiological processes, delayed ins...
Humans Computer Simulation Diabetes Mellitus, Type 1 Blood Glucose Reinforcement Machine Learning Insulin Pancreas, Artificial Deep Learning
View on PubMed DOI

Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural stimulation.

STAR protocols Dec 19, 2024
Closed-loop neural control is a powerful tool for both the scientific exploration of neural function and for mitigating deficiencies found in open-loop deep brain stimulation (DBS). Here, we present a protocol for artificial intelligence-guided neura...
Infrared Rays Reinforcement, Psychology Reinforcement Machine Learning Artificial Intelligence Rats Deep Learning Animals Deep Brain Stimulation
View on PubMed DOI

AlphaMut: A Deep Reinforcement Learning Model to Suggest Helix-Disrupting Mutations.

Journal of chemical theory and computation Dec 19, 2024
Helices are important secondary structural motifs within proteins and are pivotal in numerous physiological processes. While amino acids (AA) such as alanine and leucine are known to promote helix formation, proline and glycine disfavor it. Helical s...
Thermodynamics Deep Learning Protein Structure, Secondary Proteins Reinforcement Machine Learning Models, Molecular Mutation
View on PubMed DOI
Popular Topics
Recent Journals