dagger
Datasets
All datasets matching “dagger”dAgger_build_block_tower_1.1.0-advantages
Advantage Values for villekuosmanen/dAgger_build_block_tower_1.1.0
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_build_block_tower_1.1.0
Value Model: villekuosmanen/rewact_build_block_tower_all_3
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.1.0-advantages.dAgger_build_block_tower_1.0.0-advantages
Advantage Values for villekuosmanen/dAgger_build_block_tower_1.0.0
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_build_block_tower_1.0.0
Value Model: villekuosmanen/rewact_build_block_tower_all_3
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.0.0-advantages.dagger_final_1_21This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "openarms_follower",
"total_episodes": 1,
"total_frames": 841,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:1"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/lerobot-data-collection/dagger_final_1_21.dAgger_pack_toothbrush_Nov26-advantages
Advantage Values for villekuosmanen/dAgger_pack_toothbrush_Nov26
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_pack_toothbrush_Nov26
Value Model: villekuosmanen/rewact_toothbrush_pistar_1.5.0
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_pack_toothbrush_Nov26-advantages.dAgger_build_block_tower_1.4.0-advantages
Advantage Values for villekuosmanen/dAgger_build_block_tower_1.4.0
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_build_block_tower_1.4.0
Value Model: villekuosmanen/rewact_build_block_tower_all_3
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.4.0-advantages.dAgger_build_block_tower_1.2.0-advantages
Advantage Values for villekuosmanen/dAgger_build_block_tower_1.2.0
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_build_block_tower_1.2.0
Value Model: villekuosmanen/rewact_build_block_tower_all_3
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.2.0-advantages.