We have instructions for setting up local Docker at https://github.com/yandexdataschool/Practical_RL/tree/master/docker. However, they are unclear, as reported in the following threads:

• https://www.coursera.org/learn/practical-rl/discussions/all/threads/E6IkT54xEemB7BKA79O1vg
• https://www.coursera.org/learn/practical-rl/discussions/all/threads/urpCnVhlEeiIjg6nmV99lg

Need to review proble

首先感谢分享程序。
请问在6x6 四子棋的训练过程中，有没有调节learning_rate或者其他参数？
程序里的c_puct=5 , 温度t=1，学习率 0.002，batch_size 512 , deque最大长度10000, kl-targ=0.02 ,epochs=5
我使用你程序里的预设参数 tensorflow训练6x6 四子棋 ，loss下降到2左右就无法下降了，调节学习率也没成功。。。求帮助解答，谢谢

另外，不明白explain_var_old这个参考数值的意义。

Right now score assumes that the values of X yielded by the batch_iterator_test are the same order / length as the y passed in.

Instead, I suggest the following modifications which uses the y's yielded by the iterator:

    def predict_proba(self, X, y=None):