Nature DQN question

Web: https://www.reddit.com/r/reinforcementlearning/comments/sggdon/nature_dqn_question/

In the hyperparameters, when they say:

learning rate - 0.00025 - The learning rate used by RMSProp gradient momentum - 0.95 - Gradient momentum used by RMSProp squared gradient momentum - 0.95 - Squared gradient (denominator) momentum used by RMSProp min squared gradient - 0.01 - Constant added to the squared gradient in the denominator of the RMSProp update 

Is it this in tensorflow 2?

tf.optimizers.RMSprop(learning_rate=0.00025, rho=0.95, momentum=0.95, epsilon=0.01) 

I'm trying to set it as close as they did, but …

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