OpenAI Gym Atari

DataCite Commons2026-01-07 更新2026-05-05 收录

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https://service.tib.eu/ldmservice/dataset/31da9669-1d14-43fb-99b6-6fcc3b3c7c7f

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资源简介：

The dataset used in the paper is the OpenAI Gym Atari environment.

提供机构：

TIB

创建时间：

2024-12-02

Atari and OpenAI Gym

该数据集包含了在Atari和OpenAI Gym环境中进行的实验，这些实验采用了DQN（离策略）和PPO（在策略）算法。该数据集用于评估天机系统相较于现有DRL训练系统（如ApeX、RLlib和XingTian）的性能。它涵盖了多个环境中的游戏，任务是对强化学习进行训练和评估。

arXiv50

OpenAI Gym

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used several continuous control environments from the OpenAI Gym.

DataCite Commons2026-01-07 更新10

OpenAI Gym and Roboschool

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used OpenAI Gym and Roboschool environments.

DataCite Commons2025-01-03 更新100

OpenAI Gym and Atari 2600 games

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。

arXiv240

OpenAI Gym dataset

The dataset used in the paper is the OpenAI Gym dataset, which consists of a set of environments for reinforcement learning.

DataCite Commons2026-01-07 更新00