VTPRL Simulation Environment

该数据集提供了一个模拟环境，用于训练强化学习智能体完成使用机械臂进行伸展和平衡的任务。此外，数据集还包括了随机的关节扭矩，并在观察中融入了随机噪声，以提高智能体的鲁棒性。在预训练阶段，每个批次包含64个剧集。该任务旨在通过强化学习实现机器人控制。

This dataset provides a simulated environment for training reinforcement learning agents to perform reaching and balancing tasks with a robotic arm. Additionally, the dataset includes random joint torques and incorporates random noise into observations to enhance the robustness of the agents. During the pre-training phase, each batch contains 64 episodes. This task aims to achieve robotic control through reinforcement learning.