micahr234/play_ns_cartpole_big
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资源简介：
该数据集包含CartPole（倒立摆）强化学习环境的轨迹数据，包括状态、动作、奖励、以及环境参数（如质量、重力、长度等）的元数据。数据分为训练集和评估集，训练集包含19240000个样本，评估集包含200000个样本。
This dataset contains trajectory data from the CartPole reinforcement learning environment, including states, actions, rewards, and metadata of environment parameters (e.g., mass, gravity, length). The data is split into training set with 19,240,000 samples and evaluation set with 200,000 samples.
提供机构：
micahr234
