TAB-Fields Evaluation Dataset
收藏arXiv2025-09-30 收录
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资源简介：
该数据集包含了通过模拟和硬件实施实验的结果，旨在评估TAB-Fields框架在任务意识对抗性规划方面的性能。数据集还包括了将TAB-POMCP与几种基线方法进行比较的性能指标，为任务意识规划提供了深入见解。该数据集覆盖了多种对抗性任务类型，并进行了基线比较，其任务在于评估自主代理在对抗性场景中的性能表现。
This dataset comprises results from both simulation and hardware implementation experiments, targeting the evaluation of the TAB-Fields framework's performance in task-aware adversarial planning. It also includes performance metrics for comparing TAB-POMCP against several baseline methods, offering in-depth insights into task-aware planning. Covering a variety of adversarial task types and featuring baseline comparisons, this dataset is dedicated to evaluating the performance of autonomous agents within adversarial scenarios.
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