Datasets › MOMAland

MOMAland

Introduced by Florian Felten et al. in MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning23 Jul 2024 archive 2025-07-28

MOMAland is an open source Python library for developing and comparing multi-objective multi-agent reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

GPL 3.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MOMAland

1 variant name, as the archive lists them.

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