JacopoPan/gym-marl-reconnaissance
Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams
This project helps robotics engineers and researchers design and test control strategies for teams of diverse robots, like drones and ground vehicles, working together on tasks such as reconnaissance or surveillance. It takes in various robot configurations and environmental settings and outputs simulations of how these robot teams perform, allowing for evaluation of different cooperative strategies. This is for professionals exploring multi-robot system design and behavior.
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Use this if you are designing or evaluating cooperative control algorithms for heterogeneous robot teams in dynamic, real-world-like scenarios.
Not ideal if you need a plug-and-play solution for immediate deployment on physical robots without any algorithm development or simulation.
Stars
51
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jan 11, 2022
Commits (30d)
0
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