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xarm_lift_medium_replay_image

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魔搭社区2025-11-07 更新2025-02-08 收录
下载链接:
https://modelscope.cn/datasets/lerobot/xarm_lift_medium_replay_image
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资源简介:
This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** https://www.nicklashansen.com/td-mpc/ - **Paper:** https://arxiv.org/abs/2203.04955 - **License:** mit ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "unknown", "total_episodes": 800, "total_frames": 20000, "total_tasks": 1, "total_videos": 0, "total_chunks": 1, "chunks_size": 1000, "fps": 15, "splits": { "train": "0:800" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": null, "features": { "observation.image": { "dtype": "image", "shape": [ 84, 84, 3 ], "names": [ "height", "width", "channel" ] }, "observation.state": { "dtype": "float32", "shape": [ 4 ], "names": { "motors": [ "motor_0", "motor_1", "motor_2", "motor_3" ] } }, "action": { "dtype": "float32", "shape": [ 3 ], "names": { "motors": [ "motor_0", "motor_1", "motor_2" ] } }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "next.reward": { "dtype": "float32", "shape": [ 1 ], "names": null }, "next.done": { "dtype": "bool", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex @inproceedings{Hansen2022tdmpc, title={Temporal Difference Learning for Model Predictive Control}, author={Nicklas Hansen and Xiaolong Wang and Hao Su}, booktitle={ICML}, year={2022} } ```

本数据集基于[LeRobot](https://github.com/huggingface/lerobot)构建。 ## 数据集说明 - **主页**:https://www.nicklashansen.com/td-mpc/ - **论文**:https://arxiv.org/abs/2203.04955 - **许可协议**:MIT许可证 ## 数据集结构 [meta/info.json](meta/info.json): json { "代码库版本": "v2.0", "机器人类型": "未知", "总回合数": 800, "总帧数": 20000, "总任务数": 1, "总视频数": 0, "总分块数": 1, "分块大小": 1000, "帧率": 15, "数据集划分": { "训练集": "0:800" }, "数据路径": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "视频路径": null, "特征项": { "观测.图像": { "数据类型": "图像", "形状": [ 84, 84, 3 ], "维度名称": [ "高度", "宽度", "通道" ] }, "观测.状态": { "数据类型": "float32", "形状": [ 4 ], "维度说明": { "电机": [ "motor_0", "motor_1", "motor_2", "motor_3" ] } }, "动作": { "数据类型": "float32", "形状": [ 3 ], "维度说明": { "电机": [ "motor_0", "motor_1", "motor_2" ] } }, "回合索引": { "数据类型": "int64", "形状": [ 1 ], "维度名称": null }, "帧索引": { "数据类型": "int64", "形状": [ 1 ], "维度名称": null }, "时间戳": { "数据类型": "float32", "形状": [ 1 ], "维度名称": null }, "下一时刻奖励": { "数据类型": "float32", "形状": [ 1 ], "维度名称": null }, "下一时刻终止标记": { "数据类型": "bool", "形状": [ 1 ], "维度名称": null }, "全局索引": { "数据类型": "int64", "形状": [ 1 ], "维度名称": null }, "任务索引": { "数据类型": "int64", "形状": [ 1 ], "维度名称": null } } } ## 引用 **BibTeX格式:** bibtex @inproceedings{Hansen2022tdmpc, title={用于模型预测控制的时序差分学习(Temporal Difference Learning)}, author={Nicklas Hansen and Xiaolong Wang and Hao Su}, booktitle={ICML(国际机器学习大会,International Conference on Machine Learning)}, year={2022} }
提供机构:
maas
创建时间:
2025-02-06
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