Imagine a swarm of small robots, say drones with sufficient compute power on board.
If I understand the repercussions of this correctly, could this be applied so that the swarm be able to learn from the mistakes of a single individual?
If I understand the repercussions of this correctly, could this be applied so that the swarm be able to learn from the mistakes of a single individual?
But of course there are various RL algorithms for dealing with having multiple interacting agents, for example, for Starcraft environments (in SC, there's only one player/mouse/keyboard, true, but the idea there is that multiple-agent RL methods have the advantage of, instead of learning one giant master NN to do everything, you can let individual smaller NNs control a few or just one unit and then they can coordinate for attacks).