AIMC Topic: Reinforcement, Psychology

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Event-triggered control for input-constrained nonzero-sum games through particle swarm optimized neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2025
To accommodate the increasing system scale, improve the system operation success rate and save the computational and communication resources, it is urgent to obtain the Nash equilibrium solution for systems with increasing controllers in an effective...
Nonlinear Dynamics Reinforcement, Psychology Game Theory Algorithms Computer Simulation Humans Neural Networks, Computer
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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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A Survey on Causal Reinforcement Learning.

IEEE transactions on neural networks and learning systems Apr 4, 2025
While reinforcement learning (RL) achieves tremendous success in sequential decision-making problems of many domains, it still faces key challenges of data inefficiency and the lack of interpretability. Interestingly, many researchers have leveraged ...
Algorithms Decision Making Humans Markov Chains Reinforcement, Psychology Neural Networks, Computer Machine Learning
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Mastering diverse control tasks through world models.

Nature Apr 2, 2025
Developing a general algorithm that learns to solve tasks across a wide range of applications has been a fundamental challenge in artificial intelligence. Although current reinforcement-learning algorithms can be readily applied to tasks similar to w...
Algorithms Learning Task Performance and Analysis Humans Artificial Intelligence Problem Solving Reinforcement, Psychology
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Shared autonomy between human electroencephalography and TD3 deep reinforcement learning: A multi-agent copilot approach.

Annals of the New York Academy of Sciences Mar 30, 2025
Deep reinforcement learning (RL) algorithms enable the development of fully autonomous agents that can interact with the environment. Brain-computer interface (BCI) systems decipher human implicit brain signals regardless of the explicit environment....
Brain-Computer Interfaces Brain Reinforcement Machine Learning Humans Reinforcement, Psychology Deep Learning Algorithms Electroencephalography
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Critical scenarios adversarial generation method for intelligent vehicles testing based on hierarchical reinforcement architecture.

Accident; analysis and prevention Mar 22, 2025
The widespread deployment of intelligent vehicles necessitates comprehensive testing across diverse driving scenarios. A significant challenge is generating critical testing scenarios to accurately evaluate vehicle performance. To overcome the limita...
Automobile Driving Humans Automobiles Reinforcement, Psychology Artificial Intelligence Accidents, Traffic
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Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem.

Nature communications Mar 22, 2025
A canonical social dilemma arises when resources are allocated to people, who can either reciprocate with interest or keep the proceeds. The right resource allocation mechanisms can encourage levels of reciprocation that sustain the commons. Here, in...
Game Theory Humans Resource Allocation Cooperative Behavior Neural Networks, Computer Reinforcement, Psychology Trust Deep Learning Reinforcement Machine Learning
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Capsule DenseNet++: Enhanced autism detection framework with deep learning and reinforcement learning-based lifestyle recommendation.

Computers in biology and medicine Mar 21, 2025
Autism Spectrum Disorder (ASD) is a complex neurological condition that impairs the ability to interact, communicate, and behave. It is becoming increasingly prevalent worldwide, with an increase in the number of young children diagnosed with ASD in ...
Female Male Deep Learning Convolutional Neural Networks Saudi Arabia Life Style Child Child, Preschool Reinforcement, Psychology Humans Autistic Disorder Algorithms Autism Spectrum Disorder
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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 Animals Reinforcement, Psychology Supervised Machine Learning Male Computational Biology Algorithms Purkinje Cells Cerebellum Mice Models, Neurological Mice, Inbred C57BL
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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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