AIMC Topic: Reinforcement, Psychology

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The design of consumer behavior prediction and optimization model by integrating DQN and LSTM.

PloS one Jul 2, 2025
Amidst the rapid evolution of e-commerce and the growing abundance of consumer shopping data, accurately identifying consumer interests and enabling targeted outreach has become a critical focus for merchants and researchers. This study introduces th...
Consumer Behavior Reinforcement, Psychology Humans Deep Learning
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Shapley value-driven multi-modal deep reinforcement learning for complex decision-making.

Neural networks : the official journal of the International Neural Network Society Jun 21, 2025
Deep Reinforcement Learning (DRL) has made significant strides in addressing various sequential decision-making problems, particularly in domains such as game simulations and robotic control. However, substantial challenges arise when DRL is applied ...
Decision Making Neural Networks, Computer Deep Learning Humans Reinforcement, Psychology Reinforcement Machine Learning
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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 Reinforcement, Psychology Humans Robotics Walking Algorithms Reward Decision Making
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Encoding flexible gait strategies in stick insects through data-driven inverse reinforcement learning.

Bioinspiration & biomimetics Jun 5, 2025
Stick insects exhibit remarkable adaptive walking capabilities across diverse environments; however, the mechanisms underlying their gait transitions remain poorly understood. Although reinforcement learning (RL) has been employed to generate insect-...
Learning Biomechanical Phenomena Walking Insecta Computer Simulation Reinforcement, Psychology Gait Biomimetics Locomotion Animals Models, Biological Robotics
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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...
Reward Environment Reinforcement, Psychology Personal Space Space Perception Magnetic Resonance Imaging Humans Models, Neurological Neural Networks, Computer Brain Mapping Animals Male
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Reinforcement Learning-Driven Path Generation for Ankle Rehabilitation Robot Using Musculoskeletal-Informed Energy Optimization.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 12, 2025
In rehabilitation robotics, optimizing energy consumption and high interaction forces is essential to prevent unnecessary muscle fatigue and excessive joint loading as they often cause an inefficient trajectory planning and disrupt natural movement p...
Torque Ankle Joint Adult Movement Biomechanical Phenomena Robotics Humans Stroke Rehabilitation Female Middle Aged Electromyography Male Machine Learning Algorithms Reinforcement, Psychology Reproducibility of Results Muscle, Skeletal Ankle Exoskeleton Device
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Learn to explain transformer via interpretation path by reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Apr 29, 2025
In recent years, the Transformer model has become a key part of many AI systems, making it important to understand how it works. The large parameter size and complex structure of the Transformer make interpretation more difficult and less efficient. ...
Humans Algorithms Reinforcement, Psychology Artificial Intelligence Machine Learning Neural Networks, Computer
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Sign potential-driven multiplicative optimization for robust deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2025
Deep Reinforcement Learning (DRL) has attracted the interest of researchers due to its ability to provide valuable solutions to a variety of problems in different fields, such as robotics, autonomous driving, financial trading, and more. However, DRL...
Humans Deep Learning Neural Networks, Computer Reinforcement, Psychology Reinforcement Machine Learning Algorithms
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Influence Enhanced Sparse Coordination Graphs for Multi-Agent Reinforcement Learning.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2025
In contemporary Multi-Agent Reinforcement Learning (MARL), effectively enhancing the expressive capacity of value functions has been a persistent research focus. Many studies have employed value decomposition methods; however, due to the neglect of i...
Humans Neural Networks, Computer Reinforcement, Psychology Algorithms
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Collaborative twin actors framework using deep deterministic policy gradient for flexible batch processes.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2025
Due to its inherent efficiency in the process industry for achieving desired products, batch processing is widely acknowledged for its repetitive nature. Batch-to-batch learning control has traditionally been esteemed as a robust strategy for batch p...
Deep Learning Cooperative Behavior Reinforcement, Psychology Neural Networks, Computer Policy Humans
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