Reinforcement learning with neural networks

Posted by Betamoo on Stack Overflow See other posts from Stack Overflow or by Betamoo
Published on 2010-05-01T09:56:06Z Indexed on 2010/05/01 10:07 UTC
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machine-learning

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artificial-neural-network

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reinforcement-learning

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markov

I am working on a project with RL & NN
I need to determine the action vector structure which will be fed to a neural network..

I have 3 different actions (A & B & Nothing) each with different powers (e.g A100 A50 B100 B50) I wonder what is the best way to feed these actions to a NN in order to yield best results?

1- feed A/B to input 1, while action power 100/50/Nothing to input 2

2- feed A100/A50/Nothing to input 1, while B100/B50/Nothing to input 2

3- feed A100/A50 to input 1, while B100/B50 to input 2, while Nothing flag to input 3

4- Also to feed 100 & 50 or normalize them to 2 & 1 ?

I need reasons why to choose one method Any suggestions are recommended

Thanks

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