|View source on GitHub|
A zero-mean Ornstein-Uhlenbeck process.
tf_agents.utils.common.OUProcess( initial_value, damping=0.15, stddev=0.2, seed=None, scope='ornstein_uhlenbeck_noise' )
||Initial value of the process.|
||The rate at which the noise trajectory is damped towards the mean. We must have 0 <= damping <= 1, where a value of 0 gives an undamped random walk and a value of 1 gives uncorrelated Gaussian noise. Hence in most applications a small non-zero value is appropriate.|
||Standard deviation of the Gaussian component.|
||Seed for random number generation.|
||Scope of the variables.|
Call self as a function.