Kateryna Zorina

@ritalaezza Hello! Did you succeeded with this idea: > The goal is to have that in a loop and run env.step(action) with the output action from the rlpyt trained agent....

I managed to modify one of the environments with custom objects. I will leave notes on what I did here: - added new .urdf in load_world() function from run.py and...