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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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Is it possible to use DDPG for discrete action space?
In Deep Deterministic Policy Gradients(DDPG) method, we use two neural networks, one is Actor and the other is Critic.
From actor-network, we can directly map states to actions (the output of the net …
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How does DQN parameter updates work in simulation?
I've already read almost every Questions-answers and material related to DQN, deep reinforcement learning, but I'm struggling to start working on simulation.
First of all, I'm trying to code using M …