VectorizedMultiAgentSimulator
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proroklab
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of...
cc @LukasSchaefer If you look at the files changed, here is an example of setting mass to a tensor (that is different for each env) in the `navigation` scenario To...
Hi, sorry in advance if this isn't the right place to ask these kinds of questions. I have been playing with VMAS in its vanilla form (no torchRL/RLLib) to try...
Hey- would you guys be willing to upgrade from Gym to Gymnasium? OpenAI Gym hasn't been maintained and all future development work has been moved over to Gymnasium for over...
Hi, I'm running the example `use_vmas_env`; it runs well on Apple M1 Max using `device = "cpu"`; however, I'm getting an Error when changing `device = "mps"` I installed PyTorch...
Currently, the lidar is a MAJOR bottleneck. It loops over all angles and all entities, so if you want a lidar with a remotely similar amount of rays as a...
This PR supports specifying different number of actions for each action dimension when the action space is discrete. The motivation is to support action dimensions with different semantics that require...
hello. how can we use heuristic with multi agent RL. for example I want to use rrlib.py and run_heuristic.py on example directory in the same time? this mean I want...
Hello people! In this issue I will list the things I would really like to have in VMAS and will tick them off as they are implemented! These were previously...
Hi. I want to train flocking scenario with fixed target in some position. 1) How to false movable target in my training? I have this code and I want to...
