Displaying 66 resources

Webinar "Distributed and Hierarchical Reinforcement Learning"
In this webinar, AI4REALNET project provides an overview of two emerging topics in Reinforcement Learning (RL): Distributed RL and Hierarchical RL.
For both DRL and HRL, a general definition of the paradigm is provided, discussing the learning object

Uncertainty-Based Learning of a Lightweight Model for Multimodal Emotion Recognition



Towards functional safety management for AI-based critical systems


Position paper on AI for the operation of critical energy and mobility network infrastructures

gnntf: A Flexible Deep Graph Neural Network Framework
This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.