Datasets:
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observation.state
sequence | action
sequence | episode_index
int64 0
799
| frame_index
int64 0
24
| timestamp
float32 0
1.6
| next.reward
float32 -0.05
1.43
| next.done
bool 2
classes | index
int64 0
20k
| task_index
int64 0
0
|
---|---|---|---|---|---|---|---|---|
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End of preview. Expand
in Dataset Viewer.
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.0",
"robot_type": "unknown",
"total_episodes": 800,
"total_frames": 20000,
"total_tasks": 1,
"total_videos": 800,
"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": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
"features": {
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}
},
"observation.state": {
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"names": {
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}
},
"action": {
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}
}
Citation
BibTeX:
@inproceedings{Hansen2022tdmpc,
title={Temporal Difference Learning for Model Predictive Control},
author={Nicklas Hansen and Xiaolong Wang and Hao Su},
booktitle={ICML},
year={2022}
}
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