AIMC Topic: Reinforcement Machine Learning

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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...
Reinforcement Machine Learning Biomimetics Biomimetic Materials Animals Silk Molecular Dynamics Simulation Deep Learning
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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...
Deep Learning Fishes Hydrodynamics Reinforcement, Psychology Reinforcement Machine Learning Swimming Computer Simulation Animals Neural Networks, Computer Artificial Intelligence
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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...
Reinforcement Machine Learning Artificial Intelligence Algorithms Robotics Humans Reinforcement, Psychology Deep 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...
Algorithms Deep Learning Humans Investments Reinforcement, Psychology Reinforcement Machine Learning Financial Management Models, Economic
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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...
Computer Simulation Deep Learning Humans Diabetes Mellitus, Type 1 Reinforcement Machine Learning Pancreas, Artificial Blood Glucose Insulin
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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...
Rats Deep Brain Stimulation Animals Reinforcement Machine Learning Infrared Rays Deep Learning Artificial Intelligence Reinforcement, Psychology
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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...
Reinforcement Machine Learning Thermodynamics Protein Structure, Secondary Models, Molecular Mutation Deep Learning Proteins
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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...
Humans Algorithms Deep Learning Neural Networks, Computer Reinforcement Machine Learning Cooperative Behavior Reinforcement, Psychology
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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 Humans Mitral Valve Deep Learning Surgery, Computer-Assisted Algorithms
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