Atari Games Saliency Maps
收藏arXiv2025-09-30 收录
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https://github.com/KDL-umass/saliency_maps
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资源简介：
该数据集包含了深度强化学习代理在玩Atari游戏（特别是Breakout和Amidar）时生成的显著图，旨在评估语义概念与显著性的关系。此外，数据集还包括了游戏中反事实状态下产生的雅可比矩阵、扰动以及对象显著图。该任务是对显著图的反事实分析。
This dataset contains saliency maps generated by deep reinforcement learning agents while playing Atari games, specifically Breakout and Amidar, and aims to evaluate the relationship between semantic concepts and salience. Additionally, the dataset also includes Jacobian matrices, perturbations, and object saliency maps generated under counterfactual states in these games. This task focuses on the counterfactual analysis of saliency maps.
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