MuJoCo and Bullet locomotion tasks
收藏arXiv2025-09-30 收录
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资源简介：
该数据集汇总了使用保守DDPG、DDPG和TD3算法评估的基于运动任务的结果。它包含了多种运动任务的数据，如人形机器人、半猎豹、蚂蚁和人形站立任务，并在不同算法之间进行了性能比较。这些任务的共同主题是强化学习。
This dataset compiles the evaluation results of locomotion-based tasks using the conservative DDPG, DDPG, and TD3 algorithms. It includes data from multiple locomotion tasks, such as Humanoid, HalfCheetah, Ant, and Humanoid Standing tasks, and conducts performance comparisons across different algorithms. The common theme of these tasks is reinforcement learning.
