
HI members present 4 papers at top multi-agent conference
The AAMAS conference is widely recognised as the top conference on multi-agent systems in AI. Increasingly, AAMAS papers concern multi-agent systems where some of the agents are humans. The HI consortium had 4 papers at this top-conference:
- CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning by Andreas Sauter, Nicolò Botteghi, Erman Acar and Aske Plaat
- Emergent Cooperation under Uncertain Incentive Alignment by Nicole Orzan, Erman Acar, Davide Grossi and Roxana Rădulescu
- Uncoupled Learning of Differential Stackelberg Equilibria with Commitments by Robert Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski and Frans Oliehoek
- Toward a Quality Model for Hybrid Intelligence Teams by Davide Dell’Anna, Pradeep K. Murukannaiah, Bernd Dudzik, Davide Grossi, Catholijn M. Jonker, Catharine Oertel and Pinar Yolum