koulanurag/ma-gym
A collection of multi agent environments based on OpenAI gym.
This project provides pre-built simulated environments where multiple independent entities (agents) interact, similar to scenarios in games like Checkers or real-world problems like traffic management. It takes an agent's actions as input and provides new observations and rewards, allowing you to train and test how these agents learn to behave. Researchers and engineers working on multi-agent reinforcement learning problems would use this.
629 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need ready-to-use, standardized environments to develop and evaluate multi-agent learning algorithms.
Not ideal if you are looking for a tool to deploy trained agents directly into real-world applications without further development.
Stars
629
Forks
114
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 07, 2024
Commits (30d)
0
Dependencies
7
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