Displaying 27 resources
Case studies Case studies
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Loremipsum-TEST

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Category
Data and AI Platforms, Cooperation with partners, Sensing and processing methods
Target audience
Other, Private Sector, Researchers and Academic
Source
Adra-e
Seminar Seminar
Tutorial/How To/Guides Tutorial/How To/Guides
White paper White paper

Oratione

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Category
Sandboxes and Testbeds, Reasoning and decision-making Technologies, Technology methodologies and landscape
Target audience
Individual Citizens/Members of the Society, Private Sector, Public Sector
Source
Adra-e

Structured Power Grid Simulation Dataset for Machine Learning: Failure and Survival Events in Grid2Op's L2RPN WCCI 2022 Environment

This dataset was developed for and used in the paper titled "Fault Detection for Agents in Power Grid Topology Optimization: A Comprehensive Analysis" by Malte Lehna, Mohamed Hassouna, Dmitry Degtyar, Sven Tomforde, and Christoph Scholz, presented at
Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

Webinar "Industry-driven Use Cases"

AI4REALNET project covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic control), modelled by networks that can be simulated and traditionally operated by humans and where AI complements and
Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

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
Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

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.
Category
Sandboxes and Testbeds
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e