Multi Agent RL for Environment Based Tasks like Exploration and Navigation

[Quest2GM]

Hi,

I was wondering if you think its possible to use Isaac Gym for something like exploration/navigation RL problems, where a robot or a fleet or robots try to maximize their coverage of an environment the minimum time, or learn to navigate around obstacles in some kind of environment. The environment is randomized for every episode of training. Based on your experience and research when creating this repository, do you think something like this is possible? For the most part, I see people only using Isaac Gym for cases that require 3D RL problems (like manipulators, object control, walking, flying, etc.).

Thank you for any insight.

Best,
Siddarth