AIMC Topic: Reinforcement, Psychology

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Analysis of impact of limb segment length variations during reinforcement learning in four-legged robot.

Scientific reports Nov 14, 2024
Crawling robots are becoming increasingly prevalent in both industrial and private applications. Despite their many advantages over other robot types, they have complex movement mechanics. Artificial intelligence can simplify this by reinforcement le...
Reinforcement, Psychology Walking Extremities Artificial Intelligence Algorithms Animals Robotics Biomechanical Phenomena Humans Neural Networks, Computer
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Offline reward shaping with scaling human preference feedback for deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 1, 2024
Designing reward functions that fully align with human intent is often challenging. Preference-based Reinforcement Learning (PbRL) provides a framework where humans can select preferred segments through pairwise comparisons of behavior trajectory seg...
Humans Neural Networks, Computer Deep Learning Robotics Reinforcement, Psychology Choice Behavior Reward
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Highly valued subgoal generation for efficient goal-conditioned reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2024
Goal-conditioned reinforcement learning is widely used in robot control, manipulating the robot to accomplish specific tasks by maximizing accumulated rewards. However, the useful reward signal is only received when the desired goal is reached, leadi...
Algorithms Learning Robotics Humans Neural Networks, Computer Reinforcement, Psychology Reward Goals
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A Scoping Review of Machine Learning Applied to Peripheral Nerve Interfaces.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 7, 2024
Peripheral nerve interfaces (PNIs) can enable communication with the peripheral nervous system and have a broad range of applications including in bioelectronic medicine and neuroprostheses. They can modulate neural activity through stimulation or mo...
Unsupervised Machine Learning Machine Learning Reinforcement, Psychology Humans Supervised Machine Learning Algorithms Neural Networks, Computer Peripheral Nerves
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Human-to-Robot Handover Based on Reinforcement Learning.

Sensors (Basel, Switzerland) Sep 27, 2024
This study explores manipulator control using reinforcement learning, specifically targeting anthropomorphic gripper-equipped robots, with the objective of enhancing the robots' ability to safely exchange diverse objects with humans during human-robo...
Hand Strength Robotics Reinforcement, Psychology Algorithms Humans Learning
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Learning explainable task-relevant state representation for model-free deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2024
State representations considerably accelerate learning speed and improve data efficiency for deep reinforcement learning (DRL), especially for visual tasks. Task-relevant state representations could focus on features relevant to the task, filter out ...
Reinforcement, Psychology Deep Learning Humans Decision Making Neural Networks, Computer Reward
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An adaptive testing item selection strategy via a deep reinforcement learning approach.

Behavior research methods Sep 13, 2024
Computerized adaptive testing (CAT) aims to present items that statistically optimize the assessment process by considering the examinee's responses and estimated trait levels. Recent developments in reinforcement learning and deep neural networks pr...
Humans Deep Learning Neural Networks, Computer Reinforcement, Psychology Computer Simulation
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Using recurrent neural network to estimate irreducible stochasticity in human choice behavior.

eLife Sep 6, 2024
Theoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others. In the current study, w...
Choice Behavior Stochastic Processes Reinforcement, Psychology Male Decision Making Neural Networks, Computer Computer Simulation Young Adult Adult Female Humans
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GFANC-RL: Reinforcement Learning-based Generative Fixed-filter Active Noise Control.

Neural networks : the official journal of the International Neural Network Society Sep 5, 2024
The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves a good trade-off between noise reduction performance and system stability. However, labelling noise data for training the Convolutional Neural Network (CNN) in GFANC is t...
Algorithms Computer Simulation Reinforcement, Psychology Noise Neural Networks, Computer Machine Learning Humans
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Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning.

IEEE transactions on neural networks and learning systems Sep 3, 2024
Inspired by the well-known Papez circuit theory and neuroscience knowledge of reinforcement learning, a double dueling deep Q network (DQN) is built incorporating the electroencephalogram (EEG) signals of the frontal lobe as prior information, which ...
Perception Reinforcement, Psychology Frontal Lobe Emotions Electroencephalography Humans Brain Deep Learning Neural Networks, Computer
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