New answers tagged q-learning
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How do I create an AI controller for Pacman?
About the environments
For the controller part of your question, I would advice looking at openAI gym.
https://www.gymlibrary.ml/content/environment_creation/ #how to make your own gym enviroment
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How to compare memory requirements for tabular Q-learning vs deep neural network?
You don't say, but I suspect from your description, that you have designed the neural network to operate over one-hot-encoding representations of states and actions. Using such a representation offers ...
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Is the described Q-table considered large?
There a couple of "rules of thumb" you might apply to decide whether a Q table is large enough that some kind of approximation would help:
Does it fit into memory?
Does the rate of ...
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Is it possible to add states to the Q-table after the game has started?
Yes, it is possible to add states to a Q table after the game has started, for example by storing the "table" in a binary tree.
Nonetheless, with a simple interpretation of state (like all ...
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How to deal with changing rewards in Q-learning? DQN?
Is my definition of 'state' or 'action' wrong?
I hesitate to say 'wrong', but that's not how state and action are defined in RL, and that mismatch might make the algorithms hard to understand.
In RL ...
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