This doesn't include the data set for the value network. This is critical, because producing that one requires implementing the full reinforcement learning. Ev

This doesn't include the data set for the value network. This is critical, because producing that one requires implementing the full reinforcement learning. Even if you skip that and use the policy network, you still have the task of playing a few tens of million games. Learning a value network as big as AlphaGo from public data does not work: you overfit to hell. Which playout policy is this using? There doesn't seem to be any? Looks like it's just a neural network player. There's dozens of those already. You don't need to credit AlphaGo if you're only using policy networks for Go: The critical research for that was done at the University of Edinburgh.