Help for DQN (implementation of the paper)
Sorry, I know it’s really bad to ask help for checking if the implementation is correct. But I am rather new in deep RL, I don’t know if there is any debugging trick or method systematically for checking if my implementation is right. Unlike most supervised learning algorithm, by inspecting loss, we might have some idea about how to tune hyper-parameters (as in cs231n). But we can only see mean reward in RL(as far as I know) and I don’t know how to tune based on that. I tried inspecting the gradients and data before and after the part which I suspected there may contains bugs.
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I got similar results with deepmind paper already.
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