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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.

6 votes
4 answers
8k views

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 …
Rachel's user avatar
  • 91
1 vote
1 answer
491 views

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 …
Rachel's user avatar
  • 91