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What about Alpha Go Zeros approach of reinforced learning based on self play? Arguably the game of go has really simple, explicit rules, and evaluating the fina
by infinite8s 9y ago
What about Alpha Go Zeros approach of reinforced learning based on self play? Arguably the game of go has really simple, explicit rules, and evaluating the final end state is also easy, but it shows that with enough compute NNs can identify important features without supervision or labeling.
- brndnmtthws 9y agoWhat about what about Given enough time, energy, and computing power, you could just precompute every possible outcome and call it a neural network. You'll be praised as a genius.
- philipkglass 9y agoThis is like saying "given enough time, energy, and computing power, you could just factor large semiprimes by exhaustive search." It's both true and uninteresting because nobody has or ever will have that much time, energy, and computing power.
- chillee 9y agoAh yes, I forgot. Deepmind just secretly computed all 10^100 board states for alphago... Neural nets have been very successful for a lot of things while also being overhyped, but dismissing it all as marketing hype is throwing the baby out with the bathwater.
- Bjartr 9y agoWhere "enough" is "more than is available in the universe". The number of outcomes you'd need to precompute exceeds the number of atoms in the universe.
- a_imho 9y agoArguably the game of go has really simple, explicit rules, and evaluating the final end state is also easy, but it shows that with enough compute NNs can identify important features without supervision or labeling. AFAIK we don't know how much of that generalizes.