2 ms·
> real meatspace! I'm doing something like this as a hobby but only single agent. The input is camera images and reward is based on a stopped/moving flag deter
by lopmotr 7y ago
> real meatspace!
I'm doing something like this as a hobby but only single agent. The input is camera images and reward is based on a stopped/moving flag determined by changes between successive images as well as favoring going forward over turning. So far, it can learn to avoid crashing into walls, which is about all I'd expect. Trying to find good automated rewards without building too much special hardware is difficult. It's a vanilla DQN.