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Runner up best paper award at Adaptive and Learning Agents 2024
The paper "Learning in Public Goods Games with Non-Linear Utilities: a Multi-Objective Approach" by Davide Grossi and co-authors Nicole Orzan (RUG), Erman Acar (UvA) and Roxana Radulescu (UU), received the best paper runner up award at the Adaptive and Learning Agents workshop (ALA'24) at AAMAS 2024.
For more information, see
https://ala2024.github.io/#awards
or contact Davide Grossi at d.grossi at uva.nl.
Please note that this newsitem has been archived, and may contain outdated information or links.