Could anyone explain why the experts think Angry Birds will be so hard? It seems like absolutely ideal conditions for reinforcement learning, in the sense that inputs are very simple and there is a very straightforward way of determining how successful each shot is. Is the limitation that it has to be an Artificial Intelligence which succeeds at the problem, rather than a dumb reinforcement algorithm which happens to be really well suited for the task?
The experts thought beating humans at Angry Birds would be relatively easy—they put a 90% chance of it being feasible by now. The surprise is that it has not been done—although I think this is mostly explained by no labs seriously trying it.
Could anyone explain why the experts think Angry Birds will be so hard? It seems like absolutely ideal conditions for reinforcement learning, in the sense that inputs are very simple and there is a very straightforward way of determining how successful each shot is. Is the limitation that it has to be an Artificial Intelligence which succeeds at the problem, rather than a dumb reinforcement algorithm which happens to be really well suited for the task?
The experts thought beating humans at Angry Birds would be relatively easy—they put a 90% chance of it being feasible by now. The surprise is that it has not been done—although I think this is mostly explained by no labs seriously trying it.
Yeah I think an AI researcher working for a serious company who solved Angry birds might be fired for timewasting :D