Ontology Based Data Access (ODBA), generative AI and GNNs
Ontology Based Data Access(ODBA)について
Ontology Based Data Access (OBDA) is a method that allows queries to b...
python
Overview of Generalised Advantage Estimation (GAE) and examples of algorithms and implementations
Overview of Generalized Advantage Estimation (GAE)
Generalised Advantage Estimation (GAE) is one of the met...
Overview of weather forecasting using graph neural networks and related algorithms and implementation examples.
Weather forecasting using graph neural networks.
Weather forecasting using graph neural networks (GNNs) is...
Count-Based Multi-Armed Bandit problem approach
count-based multi-armed bandit problem approach
The Count-Based Multi-Armed Bandit Problem is a type of mult...
Overview of Variational Autoencoder (VAE), its algorithms and implementation examples
Overview of Variational Autoencoder(VAE)
Variational Autoencoder(VAE) is a type of generative model and ne...
Overview of the minimax method and examples of algorithms and implementations
Overview of the Minimax Method
The minimax method is a type of search algorithm widely used in game theory and...
Approach to automatic generation of prompts for generative AI
Generative AI and prompts
Generative AI refers to artificial intelligence technologies that generate new con...
Overview of Advantage Learning and examples of algorithms and implementations
Overview of Advantage Learning
Advantage Learning is an enhanced version of Q-learning described in ‘Overvi...
Overview and implementation examples of multi-agent systems using graph neural networks.
Overview of multi-agent systems using graph neural networks
Multi-agent systems using graph neural network...
Overview of Real-Time Constraint Modification and examples of algorithms and implementations.
Overview of Real-Time Constraint Modification
Real-Time Constraint Modification (Real-Time Constraint Modific...