Questions tagged [alphago-zero]

For questions related to AlphaGo Zero, which is a version of DeepMind's Go software, AlphaGo, that does not use data from human games and it is stronger than AlphaGo. There is a generalized version of AlphaGo Zero called AlphaZero, which beat the 3-day version of AlphaGo Zero by winning 60 games to 40. AlphaGo Zero was introduced in the paper "Mastering the game of Go without human knowledge" (2017) by David Silver et al.

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How is the rollout from the MCTS implemented in both of the AlphaGo Zero and the AlphaZero algorithms?

In a vanilla Monte Carlo tree search (MCTS) implementation, the rollout is usually implemented following a uniform random policy, that is, it takes random actions until the game is finished and only ...
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AlphaGo Zero: Does the policy head give a probability for every possible move?

If I understood correctly, the AlphaGo Zero network returns two values: a vector of logit probabilities p and a value v. My question is: in this vector that it is outputted, do we have a probability ...
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Alphazero Value loss doesn't decrease

Currenly I'm trying to reimplement alphazero in pure c++ using libtorch to accomodate my project's need. But when I training my model, I found out that the value loss doesn't decrese at all after even ...
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How basically AI synthesize thinking?

In the instance like AlphaGo Zero. How N' why AlphaGo Zero's training is so stable? Compared with traditional game theory applied in Deep RN technique!? How "AlphaGo Zero" differs from "...
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How should I interpret the weights file of the Leela Zero neural network?

I am trying to understand the NN architecture given at https://github.com/leela-zero/leela-zero/blob/next/training/caffe/zero.prototxt. So, I downloaded the NN weights from http://zero.sjeng.org/. ...