Dataset · Hugging Face

villekuosmanen/dAgger_build_block_tower_1.3.0-advantages

Name: dAgger_build_block_tower_1.3.0-advantages
Creator: villekuosmanen
License: apache-2.0
Keywords: task_categories:robotics, license:apache-2.0, size_categories:10K<n<100K, format:parquet, modality:tabular, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, advantage, reinforcement-learning, rewact

Advantage Values for villekuosmanen/dAgger_build_block_tower_1.3.0 Pre-computed advantage values for offline RL training. Source Dataset: villekuosmanen/dAgger_build_block_tower_1.3.0 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… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.3.0-advantages.

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Author / organization	villekuosmanen
License (as declared)	apache-2.0
Downloads	404 (as reported by Hugging Face)
Likes	0
Created	15 December 2025
Last updated at source	22 March 2026

advantagereinforcement-learningrewact

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17 Oct 2026 Description: Advantage Values for villekuosmanen/dAgger_build_block_tower_1.3.0 Pre-computed advantage values for offline RL training. Source Dataset: villekuosmanen/dAgger_build_block_tower_1.3.0 Value Model: villekuosmanen/rewact_build_block_tower_all → Advantage Values for villekuosmanen/dAgger_build_block_tower_1.3.0 Pre-computed advantage values for offline RL training. Source Dataset: villekuosmanen/dAgger_build_block_tower_1.3.0 Value Model: villekuosmanen/rewact_build_block_tower_all

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