AI-Olympics: Exploring the Generalization of Agents through Open Competitions

AI-Olympics: Exploring the Generalization of Agents through Open Competitions

Chen Wang, Yan Song, Shuai Wu, Sa Wu, Ruizhi Zhang, Shu Lin, Haifeng Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Demo Track. Pages 8820-8823. https://doi.org/10.24963/ijcai.2024/1040

Between 2021 and 2023, AI-Olympics---a series of online AI competitions, was hosted by the online evaluation platform Jidi in collaboration with the IJCAI committee. In these competitions, an agent is required to accomplish diverse sports tasks in a two-dimensional continuous world, while competing against an opponent. This paper provides a brief overview of the competition series and highlights notable findings. We aim to contribute insights to the field of multi-agent decision-making and explore the generalization of agents through engineering efforts.
Keywords:
Agent-based and Multi-agent Systems: MAS: Engineering methods, platforms, languages and tools
Agent-based and Multi-agent Systems: MAS: Multi-agent planning
Agent-based and Multi-agent Systems: MAS: Agent-based simulation and emergence