BenchMARL

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

facebookresearch/BenchMARL

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BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

BenchMARL grew +1.5% in the last 30 days, ranks 21st of 74 in RL Environments, last commit 259 days ago.

Star trajectory

115 days tracked
2026-07-02676 stars today2026-10-25
Momentum

+1.5% in 30d, above the RL Environments median of +0.2%.

Maintenance

Last commit 259 days ago, staler than the median of 171d.

How it compares in RL Environments

BenchMARL
676
stars
+1.5% 30d
commit 259 days ago
RL Environments median
314.5
stars
+0.2% 30d
commit ~171d ago
Leader · RAGEN
2.8k
stars
+0.7% 30d
commit 62 days ago

Ranked 21st of 74 by stars.

Language
Python
License
MIT License
Contributors
8
Forks
142
Watchers
12
Open issues
30
Releases
13
Created
2023-08-22
Stars this week
+1

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