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A Minecraft-based benchmark to train and test multi-modal multi-agent systems

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Summary
Nutrition label

91% Informative

TeamCraft is a new open-world environment for the training and evaluation of algorithms for embodied artificial intelligence ( AI ) agents.

The benchmark is based on the popular videogame Minecraft .

TeamCraft can be used to train algorithms on four different types of tasks, namely building, clearing, farming and smelting.

It equips agents with first -person RGB vision while they navigate the environment.

TeamCraft could be used by computer scientists worldwide to train and evaluate their machine learning-based models.

The benchmark could soon inspire the development of other open-world environments to train or test AI agents.

The code underpinning the TeamCraft benchmark is open-source and can be downloaded on GitHub .

VR Score

95

Informative language

97

Neutral language

52

Article tone

formal

Language

English

Language complexity

70

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

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