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Multi-Agent Reinforcement Learning

The dataset used in the paper is a collection of 21 diverse multi-agent tasks in four environments: level-based foraging, boulder-push, multi-robot warehouse, and multi-agent particle environment.

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Cite this as

Lukas Schäfer, Yali Du, Oliver Slumbers, Stefano V. Albrecht, Stephen McAleer, David Mguni (2024). Dataset: Multi-Agent Reinforcement Learning. https://doi.org/10.57702/juvg48j5

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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 16, 2024
Last update	December 16, 2024
Author	Lukas Schäfer
More Authors	Yali Du Oliver Slumbers Stefano V. Albrecht Stephen McAleer David Mguni
Homepage	https://alaworkshop2023.github.io/