I am following a tutorial from a youtuber where the soft update of the target networks are perfromed by this function:

```
def update_network_parameters(self, tau=None):
if tau is None:
tau = self.tau
weights = []
targets = self.target_actor.weights
for i, weight in enumerate(self.actor.weights):
weights.append(weight * tau + targets[i]*(1-tau))
self.target_actor.set_weights(weights)
weights = []
targets = self.target_critic.weights
for i, weight in enumerate(self.critic.weights):
weights.append(weight * tau + targets[i]*(1-tau))
self.target_critic.set_weights(weights)
```

But idk if that’s the proper way. What if there are NoisyDense layers or Normalization layers? Are they updated also using this approach? Is there somewhere a proper implementation? Maybe its already somewhere in the tf lib and idk it…