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Results tagged with dqn
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user 25141
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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How to stop DQN Q function from increasing during learning?
I changed the rewards to be negative and positive by substructing the mean reward.
It seems to improve the Q function boundries.
- 183
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How to stop DQN Q function from increasing during learning?
Following the DQN algorithm with experience replay:
Store transition $\left(\phi_{t}, a_{t}, r_{t}, \phi_{t+1}\right)$ in $D$ Sample random minibatch of transitions $\left(\phi_{j}, a_{j}, r_{j}, \phi_ …
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