AIMC Topic: Reinforcement, Psychology

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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...
Robotics Reinforcement, Psychology Humans Learning Hand Strength Algorithms
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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 ...
Decision Making Reward Reinforcement, Psychology Humans Neural Networks, Computer Deep Learning
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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...
Computer Simulation Deep Learning Reinforcement, Psychology Humans Neural Networks, Computer
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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 Computer Simulation Adult Female Humans Stochastic Processes Male Young Adult Neural Networks, Computer Reinforcement, Psychology Decision Making
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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...
Computer Simulation Noise Reinforcement, Psychology Machine Learning Algorithms Humans Neural Networks, Computer
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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 ...
Neural Networks, Computer Brain Deep Learning Humans Perception Reinforcement, Psychology Frontal Lobe Emotions Electroencephalography
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A new hybrid learning control system for robots based on spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
This paper presents a new hybrid learning and control method that can tune their parameters based on reinforcement learning. In the new proposed method, nonlinear controllers are considered multi-input multi-output functions and then the functions ar...
Neuronal Plasticity Nonlinear Dynamics Neural Networks, Computer Algorithms Models, Neurological Reinforcement, Psychology Robotics Machine Learning Feedback Neurons Action Potentials
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Joint computation offloading and resource allocation for end-edge collaboration in internet of vehicles via multi-agent reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
Vehicular edge computing (VEC), a promising paradigm for the development of emerging intelligent transportation systems, can provide lower service latency for vehicular applications. However, it is still a challenge to fulfill the requirements of suc...
Transportation Resource Allocation Deep Learning Internet Reinforcement, Psychology Algorithms Neural Networks, Computer Computer Simulation
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Exploring the effectiveness of reward-based learning strategies for second-language speech sounds.

Psychonomic bulletin & review Aug 7, 2024
Adults struggle to learn non-native speech categories in many experimental settings (Goto, Neuropsychologia, 9(3), 317-323 1971), but learn efficiently in a video game paradigm where non-native speech sounds have functional significance (Lim & Holt, ...
Reinforcement, Psychology Learning Speech Perception Adult Phonetics Humans Multilingualism Deep Learning Reward
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Quality-diversity based semi-autonomous teleoperation using reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
Recent successes in robot learning have significantly enhanced autonomous systems across a wide range of tasks. However, they are prone to generate similar or the same solutions, limiting the controllability of the robot to behave according to user i...
Computer Simulation Machine Learning Robotics Humans Reinforcement, Psychology Algorithms Neural Networks, Computer
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