Noisy Nets
E1849526
UNEXPLORED
Noisy Nets is a neural network technique that injects learnable, parameterized noise into network weights to enable more efficient and exploratory reinforcement learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Noisy Nets canonical | 1 |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Dan Horgan