PRAHOM
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/julien6/omarl_experiments?tab=readme-ov-file#tutorial-predator-prey-with-communication
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资源简介:
该数据集名为PRAHOM,适用于多种环境,在这些环境中,智能体需要通过集体策略来实现目标。它评估了不同的组织规范对智能体性能的影响。数据集包含了多种环境,如无人机群、活塞球、具有通信功能的捕食者-猎物以及骑士、弓箭手和僵尸等,同时基于各种组织规范进行了评估。该数据集的规模涉及多个环境的评估,其任务聚焦于多智能体系统组织工程。
This dataset, named PRAHOM, is tailored for a variety of environments where agents need to achieve their goals via collective strategies. It evaluates the impact of different organizational norms on agent performance. The dataset encompasses multiple environments, such as drone swarms, Piston Ball, predator-prey scenarios with communication, as well as scenarios involving Knight, Archer, and Zombie, and is assessed under various organizational norms. The scale of this dataset covers evaluations across multiple environments, and its tasks focus on organizational engineering for multi-agent systems.



