|View source on GitHub|
An op for generating noise from a zero-mean Ornstein-Uhlenbeck process.
tf_agents.utils.common.ornstein_uhlenbeck_process( initial_value, damping=0.15, stddev=0.2, seed=None, scope='ornstein_uhlenbeck_noise' )
The Ornstein-Uhlenbeck process is a process that generates temporally correlated noise via a random walk with damping. This process describes the velocity of a particle undergoing brownian motion in the presence of friction. This can be useful for exploration in continuous action environments with momentum.
The temporal update equation is:
x_next = (1 - damping) * x + N(0, std_dev)
|An op that generates noise.|