AIMC Topic: Reward

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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...
Nonlinear Dynamics Robotics Humans Reinforcement, Psychology Walking Reward Algorithms Decision Making
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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...
Male Magnetic Resonance Imaging Models, Neurological Neural Networks, Computer Humans Animals Space Perception Reinforcement, Psychology Personal Space Brain Mapping Reward Environment
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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...
Male Reward Mice Algorithms Reinforcement, Psychology Supervised Machine Learning Computational Biology Animals Purkinje Cells Cerebellum Models, Neurological Mice, Inbred C57BL
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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...
Algorithms Natural Language Processing Radiology Humans Machine Learning Reward Image Interpretation, Computer-Assisted
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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 Dopaminergic Neurons Neurons Reward Neural Networks, Computer Algorithms Brain Animals Deep Learning Models, Neurological
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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...
Reward Reinforcement, Psychology Avoidance Learning Rats Robotics Conditioning, Operant Artificial Intelligence Learning Animals Male Rats, Wistar
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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 ...
Artificial Intelligence Machine Learning Drug Discovery Deep Learning Reward
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Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2025
Navigating multi-agent reinforcement learning (MARL) environments with sparse rewards is notoriously difficult, particularly in suboptimal settings where exploration can be prematurely halted. To tackle these challenges, we introduce Hierarchical Sym...
Reinforcement, Psychology Humans Reward Neural Networks, Computer Cooperative Behavior Algorithms
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VCSAP: Online reinforcement learning exploration method based on visitation count of state-action pairs.

Neural networks : the official journal of the International Neural Network Society Jan 1, 2025
In the domain of online reinforcement learning, strategies that leverage inherent rewards for exploration tend to achieve commendable outcomes within contexts characterized by deceptive or sparse rewards. Counting through the visitation of states is ...
Reinforcement, Psychology Computer Simulation Reward Humans Neural Networks, Computer Algorithms
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Neurocontrol for fixed-length trajectories in environments with soft barriers.

Neural networks : the official journal of the International Neural Network Society Dec 12, 2024
In this paper we present three neurocontrol problems where the analytic policy gradient via back-propagation through time is used to train a simulated agent to maximise a polynomial reward function in a simulated environment. If the environment inclu...
Reward Algorithms Humans Computer Simulation Neural Networks, Computer Learning Environment
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