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Results tagged with dqn
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user 37178
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.
6
votes
1
answer
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How should I handle invalid actions in a grid world?
I plan to use DQN to do this. I'm having trouble handling the starting point: what if the Q network's prediction is telling the agent to move downward (or leftward) at the beginning? …
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