[Question] Value of tf.train.RMSPropOptimizer.momentum in dqn_nature.gin

First, thanks for sharing dopamine with all of us. It definitely improves productivity!

In the Minh et al. (2015) Nature paper on DQN, Extended Data Table 1 lists the gradient momentum as 0.95. However, in dqn_nature.gin the value seems to be set to 0.0:

tf.train.RMSPropOptimizer.learning_rate = 0.00025
tf.train.RMSPropOptimizer.decay = 0.95
tf.train.RMSPropOptimizer.momentum = 0.0
tf.train.RMSPropOptimizer.epsilon = 0.00001
tf.train.RMSPropOptimizer.centered = True

I believe this particular configuration file is supposed to offer the same hyperparameter settings as the Nature paper. Or perhaps I'm not interpreting the parameters correctly. Anyway, should it be 0.0 or 0.95?

Thanks much!

--Ted