Questions tagged [dqn]

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.

For more info, have a look at the paper Playing Atari with Deep Reinforcement Learning (2013), by V. Mnih et al. See also Human-level control through Deep Reinforcement Learning (2015), by V. Mnih et al., and Implementing the Deep Q-Network (2017) by M. Roderick et al.

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DQN card game - how to represent the actions?

I want to train a DQN card game named witches. It consists of 60 Cards (1-14 of Yellow, Blue, Green, Red Cards + 4 Wizzards). The color of the first layed card has to be respected by the other players (if they have this card in hand). The one who…
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Why DQN model select same action during the training

Now i try to create the DQN model. During the training process, the action value of each step is different, but most of the time, the same action is always selected. How can i solve it? Replay memory is 1000, batch size is 32, The learning rate is…