Mujoco Framework

该数据集采用了Mujoco框架，用于强化学习研究，并在多种地图设置上评估所提出的算法，包括带锁的四房间、点状迷宫、点E型迷宫以及隧道环境等。此外，该数据集包含了多种专为测试分层强化学习算法而设计的环境，这些环境中的特定任务需要战略规划和子目标完成。该数据集的规模涵盖了具有不同设置的多环境，其任务专注于机器人导航任务的强化学习。

This dataset utilizes the Mujoco framework for reinforcement learning research, and evaluates the proposed algorithm across diverse map settings, including locked four-room mazes, point-shaped mazes, point-based E-shaped mazes, tunnel environments, and more. Furthermore, this dataset includes a variety of environments specifically designed for testing hierarchical reinforcement learning algorithms, where specific tasks require strategic planning and subgoal completion. This dataset encompasses multiple environments with different configurations, and its tasks focus on reinforcement learning for robotic navigation.