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.

Data and Resources

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

DOI retrieved: December 16, 2024

Additional Info

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