On 3/17/15, David Silver <davidstarsil...@gmail.com> wrote: > Reinforcement learning is different to unsupervised learning. We used > reinforcement learning to train the Atari games. Also we published a more > recent paper (www.nature.com/articles/nature14236) that applied the same > network to 50 different Atari games (achieving human level in around half).
Omg, the Atari paper is an awesome paper. Cant believe I skipped over it the first time. I guess I was like "Oh, it's not Go, skip that one for now :-)" :-D It's really amazing, it's exactly what I was hoping someone could achieve. Well... "exactly"... I suppose "exactly" would mean, could learn to play http://springrts.com :-) Perhaps, "conceptually" is a better word. My idea was to just give the computer generic, unlabelled, arrays as input, representing the map and stuff; and a set of generic, unlabelled buttons as output, ie representing 'up' 'down', etc. But I had no idea how to train it :-) And now, someone has come up with a way to train such a device :-) _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
