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I saw this [post on reddit](https://www.reddit.com/r/MachineLearning/comments/hrzooh/r_montecarlo_tree_search_as_regularized_policy/) and thought this might be of interest here. [Paper](https://proce…
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So as shown in the [Colab ](https://colab.research.google.com/drive/1RLc2DAnQ0pRguGasg2-nSmdRbsbLNYeb?usp=sharing
)file I am having trouble installing AlphaZero in Colab's Julia environment.
I am u…
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I am encountering a "no good algo found error" when running [AlphaZero.jl](https://github.com/jonathan-laurent/AlphaZero.jl) on some machines with `JULIA_NUM_THREADS > 1`:
```
No good algo found.
S…
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Running the following test code produced the following error. The same problem occurs with msetnx.
```
@Test
public void testMSet() throws RedisException {
ConnectionSpec connectionSpec = Default…
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The train() function for the AlphaZero algorithm needs a loss function.
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您好！论文中提到对prior probabilities in the root node添加dirichlet noise，按[AlphaGo Zero](https://deepmind.com/documents/119/agz_unformatted_nature.pdf)和[AlphaZero](https://arxiv.org/pdf/1712.01815.pdf)论文里的notat…
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how can we make a single player game by alphazero and make our own env,not use the gym env
thanks a lot!
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Current policy bindings only support for AlphaZero policy. It needs more flexible policy bindings purely implemented with foreign languages
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试了github.com/alphazero/Go-Redis是可以的，github.com/hoisie/redis.go报同样的错误。
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A big difference between the training methods of MuZero and AlphaZero is: Muzero uses K consequential steps samples, and AlphaZero uses only one step samples. Muzero's paper has shown the advantage …