OpenAI Gym and Atari 2600 games
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/tmoer/mcts-t.git
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资源简介：
该数据集包含了来自OpenAI Gym存储库的一系列任务以及Atari 2600游戏，用于对所提出的蒙特卡洛树搜索（MCTS）算法的性能进行基准测试。这些任务包括OpenAI Gym中的CartPole和FrozenLake等，以及部分Atari 2600游戏，旨在评估所提算法的效率。这些任务属于强化学习领域。
This dataset comprises a series of tasks from the OpenAI Gym repository and Atari 2600 games, which is used to benchmark the performance of the proposed Monte Carlo Tree Search (MCTS) algorithm. The tasks include CartPole and FrozenLake from OpenAI Gym, as well as some Atari 2600 games, aiming to evaluate the efficiency of the proposed algorithm. These tasks fall within the field of reinforcement learning.
提供机构：
OpenAI Gym and Atari
