AIMC Topic: Reinforcement Machine Learning

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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...
Financial Management Models, Economic Reinforcement, Psychology Reinforcement Machine Learning Investments Algorithms Deep Learning Humans
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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...
Deep Learning Blood Glucose Insulin Humans Computer Simulation Pancreas, Artificial Diabetes Mellitus, Type 1 Reinforcement Machine Learning
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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...
Reinforcement, Psychology Reinforcement Machine Learning Deep Brain Stimulation Infrared Rays Animals Artificial Intelligence Deep Learning Rats
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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...
Deep Learning Proteins Mutation Thermodynamics Models, Molecular Protein Structure, Secondary Reinforcement Machine Learning
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ReLMM: Reinforcement Learning Optimizes Feature Selection in Modeling Materials.

Journal of chemical information and modeling Dec 17, 2024
A challenge to materials discovery is the identification of the physical features that are most correlated to a given target material property without redundancy. Such variables necessarily comprise the optimal search domain in subsequent material de...
Reinforcement Machine Learning Models, Chemical
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A fully value distributional deep reinforcement learning framework for multi-agent cooperation.

Neural networks : the official journal of the International Neural Network Society Dec 14, 2024
Distributional Reinforcement Learning (RL) extends beyond estimating the expected value of future returns by modeling its entire distribution, offering greater expressiveness and capturing deeper insights of the value function. To leverage this advan...
Deep Learning Cooperative Behavior Reinforcement Machine Learning Reinforcement, Psychology Humans Neural Networks, Computer Algorithms
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Robotic navigation with deep reinforcement learning in transthoracic echocardiography.

International journal of computer assisted radiology and surgery Sep 20, 2024
PURPOSE: The search for heart components in robotic transthoracic echocardiography is a time-consuming process. This paper proposes an optimized robotic navigation system for heart components using deep reinforcement learning to achieve an efficient ...
Robotic Surgical Procedures Echocardiography Reinforcement Machine Learning Surgery, Computer-Assisted Deep Learning Mitral Valve Humans Algorithms
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Autonomous countertraction for secure field of view in laparoscopic surgery using deep reinforcement learning.

International journal of computer assisted radiology and surgery Sep 16, 2024
PURPOSE: Countertraction is a vital technique in laparoscopic surgery, stretching the tissue surface for incision and dissection. Due to the technical challenges and frequency of countertraction, autonomous countertraction has the potential to signif...
Deep Learning Humans Neural Networks, Computer Laparoscopy Computer Simulation Reinforcement Machine Learning Phantoms, Imaging
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DRL-driven padel players: Simulating padel matches through deep reinforcement learning in real and hypothetical scenarios.

Journal of sports sciences Sep 1, 2025
Recent advances in Deep Reinforcement Learning (DRL) have opened new avenues for sport research. DRL allows virtual agents to learn and solve complex tasks with minimal input, which means that models can be trained with little or no data collection. ...
Humans Computer Simulation Athletic Performance Reinforcement, Psychology Reinforcement Machine Learning Deep Learning Robotics
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Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management.

Computers in biology and medicine Jun 1, 2025
BACKGROUND: Managing blood glucose levels in Type 1 Diabetes Mellitus (T1DM) is essential to prevent complications. Traditional insulin delivery methods often require significant patient involvement, limiting automation. Reinforcement Learning (RL)-b...
Humans Computer Simulation Pancreas, Artificial Reinforcement Machine Learning Insulin Infusion Systems Adult Male Precision Medicine Female Deep Learning Diabetes Mellitus, Type 1 Blood Glucose Hypoglycemic Agents Insulin
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