The hyPEr ExpeRt collaborative AI assistant

Informations projet

PEER

N° de convention de subvention: 101120406

DOI

10.3030/101120406

Date de signature de la CE 26 Juin 2023

Date de début 1 Octobre 2023

Date de fin 30 Septembre 2027

Financé au titre de

• Digital, Industry and Space

Coût total

€ 7 737 900,00

Contribution de l’UE

€ 7 737 900,00

Coordonné par

VRIJE UNIVERSITEIT BRUSSEL
Belgium

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (3)

Dissemination & Communication Plan (1st version)

Detailed exploitation, communication and dissemination plan, to ensure effective exploitation and dissemination of the project results and communication throughout the project geared towards engaging stakeholders and relevant different profiles (targeted audiences). This strategy will address communication objectives and approach, target audience, media channels and tools, messages, activities, materials and KPIs.

AI co-creation representations

Set of developed AI representation through tech cards.

Measurement scales and metrics for trustworthy AI

This deliverable will provide the definition of the different scales and metrics to measure acceptance of AI systems. It will also provide the tools and protocols to measure it.

Publications

Peer reviewed articles (1)

Learning efficient in-store picking strategies to reduce customer encounters in omnichannel retail

Auteurs: Fábio Neves-Moreira, Pedro Amorim
Publié dans: International Journal of Production Economics, Numéro 267, 2023, ISSN 0925-5273
Éditeur: Elsevier BV
DOI: 10.1016/j.ijpe.2023.109074

Conference proceedings (7)

Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic

Auteurs: Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma
Publié dans: 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
Éditeur: Proceedings of the 27th European Conference on Artificial Intelligence
DOI: 10.48550/arXiv.2407.10820

Planning for Human-Robot Collaboration Scenarios with Heterogeneous Costs and Durations

Auteurs: Silvia Izquierdo-Badiola, Gerard Canal, Guillem Alenyà, Carlos Rizzo, Andrew Coles
Publié dans: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Éditeur: IOS Press
DOI: 10.3233/FAIA241019

Where (not) to Cross the Street

Auteurs: Leah van Oorschot, Dimitris Michailidis, Niek IJzerman, Shayla Jansen, Diederik Roijers
Publié dans: BNAIC/BeNeLearn 2024 (Conference)
Éditeur: BNAIC/BeNeLearn 2024

Towards Differentiating Between Failures and Domain Shifts in Industrial Data Streams

Auteurs: Natalia Wojak-Strzelecka, Szymon Bobek, Grzegorz Nalepa, Jerzy Stefanowski
Publié dans: Embracing Human-Aware AI in Industry 2024 at ECAI 2024
Éditeur: Proceedings in ECAI 2024

Learning symbolic expressions to solve multi-period time slot pricing vehicle routing problems

Auteurs: Fábio Neves-Moreira, Daniela Fernandes, Miguel Lunet, Pedro Amorim
Publié dans: XAI Workshop at IJCAI 2024
Éditeur: XAI Workshop at IJCAI 2024

MOMAland: Benchmarking Multi-Objective Multi-Agent Reinforcement Learning

Auteurs: Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M Roijers, Jordan K. Terry, El-Ghazali Talbi, Gregoire Danoy, Ann Nowé, Roxana Radulescu
Publié dans: Multi-Objective Decision Making Workshop at ECAI 2024
Éditeur: Proceedings in Multi-Objective Decision Making Workshop at ECAI 2024
DOI: 10.48550/ARXIV.2407.16312

Model-Based Reinforcement Learning in Multi-Objective Environments with a Distributional Critic

Auteurs: Willem Röpke, Diederik M Roijers, Ann Nowé, Roxana Radulescu, Hendrik Baier
Publié dans: Multi-Objective Decision Making Workshop at ECAI 2024
Éditeur: Proceedings in Multi-Objective Decision Making Workshop at ECAI 2024