📚 node [[target | text]]
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📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Target.md by @KGBicheno
target
Go back to the [[AI Glossary]]
Synonym for label.
⥅ node [[target_network]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Target_Network.md by @KGBicheno
target network
Go back to the [[AI Glossary]]
#rl
In Deep Q-learning, a neural network that is a stable approximation of the main neural network, where the main neural network implements either a Q-function or a policy. Then, you can train the main network on the Q-values predicted by the target network. Therefore, you prevent the feedback loop that occurs when the main network trains on Q-values predicted by itself. By avoiding this feedback, training stability increases.
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