koulanurag/ma-gym
A collection of multi agent environments based on OpenAI gym.
Implements domain-specific multi-agent scenarios (Checkers, PredatorPrey, TrafficJunction, Combat) with vectorized observation/reward handling across variable agent counts. Wraps standard Gym environments into multi-agent variants and integrates with minimal-marl for pre-trained agent initialization, targeting MARL research and algorithm benchmarking.
629 stars and 152 monthly downloads. No commits in the last 6 months. Available on PyPI.
Stars
629
Forks
114
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 07, 2024
Monthly downloads
152
Commits (30d)
0
Dependencies
7
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