@ptrblck What would the correct way be to concatenate observations (image (84x84x1), pose(x,y,z,r,p,y), sonar(range)), first using numpy, and then converting it to a torch tensor?
I have to process first using numpy, so that there are no PyTorch depedencies added to the OpenAI Gym get_obs() method. And then convert the observations to a Tensor once I get it from the Gym environment.