AIMC Topic: Reward

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Data-driven equation discovery reveals nonlinear reinforcement learning in humans.

Proceedings of the National Academy of Sciences of the United States of America Jul 31, 2025
Computational models of reinforcement learning (RL) have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, potentially ...
Nonlinear Dynamics Models, Psychological Reinforcement, Psychology Learning Decision Making Reward Humans Algorithms Computer Simulation
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Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.

Psychological medicine Jul 23, 2025
BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and Schizophrenia (SCZ), is characterized by abnormalities in hedonic experience. Previous studies have used machine learning (ML) algorithms without focu...
Humans Machine Learning Female Reward Anhedonia Middle Aged Schizophrenic Psychology Young Adult Depressive Disorder, Major Adult Schizophrenia Male
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Integrated decision-control for social robot autonomous navigation considering nonlinear dynamics model.

PloS one Jun 6, 2025
Reinforcement learning (RL) has demonstrated significant potential in social robot autonomous navigation, yet existing research lacks in-depth discussion on the feasibility of navigation strategies. Therefore, this paper proposes an Integrated Decisi...
Reward Nonlinear Dynamics Reinforcement, Psychology Decision Making Robotics Walking Humans Algorithms
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Egocentric value maps of the near-body environment.

Nature neuroscience Jun 2, 2025
Body-part-centered response fields are pervasive in single neurons, functional magnetic resonance imaging, electroencephalography and behavior, but there is no unifying formal explanation of their origins and role. In the present study, we used reinf...
Brain Mapping Reward Environment Male Magnetic Resonance Imaging Models, Neurological Space Perception Reinforcement, Psychology Personal Space Humans Neural Networks, Computer Animals
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Self-Referencing Agents for Unsupervised Reinforcement Learning.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2025
Current unsupervised reinforcement learning methods often overlook reward nonstationarity during pre-training and the forgetting of exploratory behavior during fine-tuning. Our study introduces Self-Reference (SR), a novel add-on module designed to a...
Reward Exploratory Behavior Reinforcement, Psychology Humans Neural Networks, Computer Unsupervised Machine Learning
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Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning.

PLoS computational biology Mar 17, 2025
Although the cerebellum is typically associated with supervised learning algorithms, it also exhibits extensive involvement in reward processing. In this study, we investigated the cerebellum's role in executing reinforcement learning algorithms, wit...
Reward Reinforcement, Psychology Purkinje Cells Algorithms Mice, Inbred C57BL Animals Supervised Machine Learning Male Mice Cerebellum Computational Biology Models, Neurological
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LHR-RFL: Linear Hybrid-Reward-Based Reinforced Focal Learning for Automatic Radiology Report Generation.

IEEE transactions on medical imaging Mar 17, 2025
Radiology report generation that aims to accurately describe medical findings for given images, is pivotal in contemporary computer-aided diagnosis. Recently, despite considerable progress, current radiology report generation models still struggled t...
Machine Learning Algorithms Natural Language Processing Radiology Reward Image Interpretation, Computer-Assisted Humans
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Interpretable deep learning for deconvolutional analysis of neural signals.

Neuron Mar 12, 2025
The widespread adoption of deep learning to model neural activity often relies on "black-box" approaches that lack an interpretable connection between neural activity and network parameters. Here, we propose using algorithm unrolling, a method for in...
Corpus Striatum Thalamus Animals Dopaminergic Neurons Neurons Deep Learning Neural Networks, Computer Reward Models, Neurological Algorithms Brain
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Of rats and robots: A mutual learning paradigm.

Journal of the experimental analysis of behavior Mar 12, 2025
Robots are increasingly used alongside Skinner boxes to train animals in operant conditioning tasks. Similarly, animals are being employed in artificial intelligence research to train various algorithms. However, both types of experiments rely on uni...
Artificial Intelligence Learning Animals Male Rats, Wistar Avoidance Learning Rats Conditioning, Operant Robotics Reward Reinforcement, Psychology
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Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation.

Journal of chemical information and modeling Feb 24, 2025
Optimizing techniques for discovering molecular structures with desired properties is crucial in artificial intelligence (AI)-based drug discovery. Combining deep generative models with reinforcement learning has emerged as an effective strategy for ...
Drug Discovery Artificial Intelligence Deep Learning Machine Learning Reward
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