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Results tagged with dqn
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user 78383
For questions related to the deep Q-network (DQN), which is a deep neural network (e.g. a convolutional neural network) trained with a variant of Q-learning. The expression was coined in the paper "Playing Atari with Deep Reinforcement Learning" (2013) by Google's DeepMind.
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Why slow-changing policy invalidates Double DQN approach in TD3 paper?
effectively address the Q-learning overestimation bias by using different networks for maximizing and estimating the next state Q value when estimating the target Q, even though the idea worked in the Double DQN …
- 131
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Why does only Deep Q Learning have an overestimation bias?
This is why methods like Double DQN and TD3 were created.
But what I don't understand is, is it not true that every temporal difference estimation has an overestimation bias? …
- 131