facebookresearch / 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.
Why this job: matched by what the repo talks about: benchmark, learn, model, task
What it does
- A test CI with integration and training test routines that are run for all simulators and algorithms
- Integration in the official TorchRL ecosystem for dedicated support
- Possibility of using different algorithms and models for different agent groups (see examples/ensemble)
Get started
pip install torchrl- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 686
- +3 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.5.2
- Released 9 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 69% closed
- 30 still open
- Pull requests
- 133 merged
- 9 waiting
- Releases
- 13
- 2 in the last year
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More: languages, topics and project record
Languages
- Python 99%
- Jupyter Notebook 1%
Topics
- benchmark
- machine-learning
- marl
- multi-agent
- multi-agent-reinforcement-learning
- pytorch
- reinforcement-learning
- rl
- robotics
- torch
Project record
- JobEvals and observability
- StatusListed
- Commits177
- Forks145
- Watching12
- Stars in 28 days+14
- CreatedAug 22, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026