Atari benchmark tasks
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/Stilwell-Git/Doubly-Bounded-Q-Learning
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资源简介:
该数据集包含了来自Atari平台的各种游戏,用于对提出的方法与几种基准算法进行评估。此外,该数据集还用于展示在双Q学习背景下,提出的方法相较于基准算法在性能上的显著提升。该数据集的规模涉及多款游戏,其任务是对强化学习算法的性能进行评估。
This dataset contains various games from the Atari platform and is utilized to evaluate the proposed method against several baseline algorithms. Furthermore, it is also employed to demonstrate that the proposed method achieves significant performance gains over baseline algorithms in the context of Double Q-learning. Covering multiple Atari games, this dataset is designed to assess the performance of reinforcement learning algorithms.
提供机构:
Atari



