🔧 Policy Gradients: REINFORCE from Scratch with NumPy
Nachrichtenbereich: 🔧 Programmierung
🔗 Quelle: dev.to
In the DQN post, we trained a neural network to estimate Q-values and then picked the best action with argmax. That works when the action space is discrete — push left or push right. But what if you... [Weiterlesen]
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