Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism
The proposed GNN-IRL exploration approach was implemented using the DQN algorithm to learn and generate a policy for action selection....
neural
Interactive learning system neural network algorithm optimization
Neural network modelExperiment: Comparison of the Siamese LSTM model with different combinations of training components, different embedding files (Word2Vec or...
Multi-task genomic prediction using gated residual variable selection neural networks | BMC Bioinformatics
This section describes the methodology for genomic prediction and variable selection using the deep learning-based GRVSNN framework. Our approach is...
Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture
Learning path optimization algorithmThe generation of optimal learning paths requires balancing two potentially competing objectives: maximizing knowledge acquisition while maintaining...
Efficient Techniques From Swaminathan Sethuraman Reshaping Neural Networks
The growing appetite for artificial intelligence is colliding with practical limits on energy, memory, and interpretability. Three recent studies by...
AI Finds Shared Neural Patterns Across Minds
Summary: Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals. The method, called...
