This is visually very impressive, of course, but what is the significance of
this work? I am not very familiar with intelligent agents research so I don't
understand to what extent learning cooperative tool use in an adversarial
environment (if I understand correctly what is shown) represents an important
advancement of the state of the art in intelligent agents research, or not.
In any case this is a simulation- so it's basically impossible to take the
learned model and use it immediately in a real-world environment with true
physics and arbitrary elements, let alone with unrestricted dimensions (the
agents in the article are for the most part restricted to a limited play
area). So if I understand this correctly the trained model is only good for
the specific simulated environment and would not work as well under even
slightly different conditions.
In any case this is a simulation- so it's basically impossible to take the learned model and use it immediately in a real-world environment with true physics and arbitrary elements, let alone with unrestricted dimensions (the agents in the article are for the most part restricted to a limited play area). So if I understand this correctly the trained model is only good for the specific simulated environment and would not work as well under even slightly different conditions.