AIMC Topic: Learning

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Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies.

IEEE transactions on cybernetics Jul 19, 2022
Adversarial attack can be deemed as a necessary prerequisite evaluation procedure before the deployment of any reinforcement learning (RL) policy. Most existing approaches for generating adversarial attacks are gradient based and are extensive, viz.,...
Machine Learning Learning Policy Markov Chains Reinforcement, Psychology
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Dual-Representation-Based Autoencoder for Domain Adaptation.

IEEE transactions on cybernetics Jul 19, 2022
Domain adaptation aims to facilitate the learning task in an unlabeled target domain by leveraging the auxiliary knowledge in a well-labeled source domain from a different distribution. Almost existing autoencoder-based domain adaptation approaches f...
Machine Learning Learning
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An analysis of the influence of transfer learning when measuring the tortuosity of blood vessels.

Computer methods and programs in biomedicine Jul 16, 2022
BACKGROUND AND OBJECTIVE: Convolutional Neural Networks (CNNs) can provide excellent results regarding the segmentation of blood vessels. One important aspect of CNNs is that they can be trained on large amounts of data and then be made available, fo...
Neural Networks, Computer Machine Learning Learning Image Processing, Computer-Assisted
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Novel optimal trajectory tracking for nonlinear affine systems with an advanced critic learning structure.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2022
In this paper, a critic learning structure based on the novel utility function is developed to solve the optimal tracking control problem with the discount factor of affine nonlinear systems. The utility function is defined as the quadratic form of t...
Neural Networks, Computer Algorithms Computer Simulation Learning Nonlinear Dynamics
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A multi-birth metric learning framework based on binary constraints.

Neural networks : the official journal of the International Neural Network Society Jul 14, 2022
Multi-metric learning plays a significant role in improving the generalization of algorithms related to distance metrics since using a single metric is sometimes insufficient to handle complex data. Metric learning can adjust automatically the distan...
Artificial Intelligence Algorithms Databases, Factual Learning Pattern Recognition, Automated
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Fully body visual self-modeling of robot morphologies.

Science robotics Jul 13, 2022
Internal computational models of physical bodies are fundamental to the ability of robots and animals alike to plan and control their actions. These "self-models" allow robots to consider outcomes of multiple possible future actions without trying th...
Learning Biomechanical Phenomena Animals Robotics Motion Knowledge
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Comprehensive Evaluation of the Tendency of Vertical Collusion in Construction Bidding Based on Deep Neural Network.

Computational intelligence and neuroscience Jul 13, 2022
To effectively diagnose and monitor the vertical collusion in construction project bidding, this paper developed a comprehensive evaluation model with deep neural network and transfer learning. By this model, the collusion characteristics of bidders,...
Humans Neural Networks, Computer Learning Deep Learning
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Reinforcement learning based adaptive optimal control for constrained nonlinear system via a novel state-dependent transformation.

ISA transactions Jul 12, 2022
Existing schemes for state-constrained systems either impose feasibility conditions or ignore the optimality. In this article, an adaptive optimal control scheme for the strict-feedback nonlinear system is proposed, which benefits from two design ste...
Neural Networks, Computer Computer Simulation Learning Feedback Nonlinear Dynamics
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Intuitive physics learning in a deep-learning model inspired by developmental psychology.

Nature human behaviour Jul 11, 2022
'Intuitive physics' enables our pragmatic engagement with the physical world and forms a key component of 'common sense' aspects of thought. Current artificial intelligence systems pale in their understanding of intuitive physics, in comparison to ev...
Humans Artificial Intelligence Learning Deep Learning Child, Preschool Child Physics Psychology, Developmental
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PSO Algorithm-Based Design of Intelligent Education Personalization System.

Computational intelligence and neuroscience Jul 9, 2022
The application of artificial intelligence in the field of education is becoming more and more extensive and in-depth. The intelligent education system can not only solve the limitations of location, time, and resources in the traditional learning fi...
Artificial Intelligence Algorithms Computer Simulation Learning Intelligence
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