DeepMind Lab Maze Navigation
收藏arXiv2025-09-30 收录
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https://deepmind.com/research/open-source/deepmind-lab
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资源简介:
该数据集包含了一系列为训练和评估在迷宫导航环境中代理而生成的抽象二维地图。这些地图的特殊之处在于,所有有效的位置都是可达的,并且代理的能力评估是基于它们在未见过的地图上的导航表现。数据集涵盖了多种地图尺寸,包括13x13、15x15、17x17、19x19和21x21。所涉及的任务是零样本导航,在迷宫环境中的代理需完成这一挑战。
This dataset contains a collection of abstract 2D maps generated for training and evaluating agents in maze navigation environments. A distinctive feature of these maps is that all valid positions are reachable, and agent capability evaluation is measured via their navigation performance on unseen maps. The dataset covers a variety of map sizes including 13×13, 15×15, 17×17, 19×19, and 21×21. The core task involved is zero-shot navigation, where agents in maze environments must complete this navigation challenge.
提供机构:
DeepMind



