AI-Olympics: Exploring the Generalization of Agents through Open Competitions
Multiagent Systems
2024-05-24 v1
Abstract
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
Cite
@article{arxiv.2405.14358,
title = {AI-Olympics: Exploring the Generalization of Agents through Open Competitions},
author = {Chen Wang and Yan Song and Shuai Wu and Sa Wu and Ruizhi Zhang and Shu Lin and Haifeng Zhang},
journal= {arXiv preprint arXiv:2405.14358},
year = {2024}
}
Comments
IJCAI 2024 Demo Track Paper