binary-husky/hmp2g
Multiagent Reinforcement Learning Research Project
This framework helps researchers design, implement, and test multi-agent reinforcement learning (MARL) algorithms for complex simulations. It allows you to define various AI algorithms and integrate them with diverse multi-agent environments, from tactical simulations to cargo transport. Researchers in AI and machine learning fields would use this to accelerate their experimental workflows.
228 stars. No commits in the last 6 months.
Use this if you are a reinforcement learning researcher developing and testing multi-agent algorithms across different environments.
Not ideal if you are looking for a plug-and-play solution for a specific real-world problem or a general-purpose single-agent RL framework.
Stars
228
Forks
39
Language
Python
License
MIT
Category
Last pushed
Jul 10, 2025
Commits (30d)
0
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