zombie-einstein/esquilax
JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library
This tool helps researchers and developers design and run complex simulations of multi-agent systems, from swarms to economic models. It takes in your model's design and outputs high-performance simulations, enabling multi-agent reinforcement learning or evolutionary training. This is for computational scientists, AI researchers, and simulation engineers exploring how large groups of entities interact.
No commits in the last 6 months. Available on PyPI.
Use this if you need to simulate large-scale multi-agent systems with fixed numbers of entities where state updates happen in parallel, and you want to integrate with existing JAX-based machine learning tools.
Not ideal if your simulation requires continuous-time, event-driven updates, variable numbers of entities, or high-fidelity physics models.
Stars
12
Forks
—
Language
Python
License
MIT
Category
Last pushed
Oct 12, 2025
Commits (30d)
0
Dependencies
3
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