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.
Compare and benchmark different multi-agent reinforcement learning algorithms and tasks using this specialized library.
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Free · no card · unsubscribe anytimeBenchMARL 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 has 641 stars on GitHub. It has been forked 134 times. BenchMARL is written mainly in Python. It has been in active development since 2023. BenchMARL is available under the MIT license. Its main topics are benchmark, machine-learning, marl, multi-agent.
What is 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.
Is BenchMARL open source?
BenchMARL is an open-source project. It is released under the MIT license.
Is BenchMARL free?
Yes. BenchMARL is free and open source — you can use, modify and self-host it.
What license does BenchMARL use?
BenchMARL is available under the MIT license.
What language is BenchMARL written in?
BenchMARL is written mainly in Python.
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