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Blocksworld Dataset

The Blocksworld dataset is a photo-realistic environment, where the goal is to move blocks around to achieve a goal state. The dataset consists of 480/2592 possible states/transitions, which are used to train the First-Order State AutoEncoder.

Data and Resources

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Cite this as

Masataro Asai, IBM Research, MIT-IBM Watson AI Lab (2024). Dataset: Blocksworld Dataset. https://doi.org/10.57702/olg828xm

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.1902.08093
Author	Masataro Asai
More Authors	IBM Research MIT-IBM Watson AI Lab