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[D][RL] Tips on solving short episodes with large action space and huge state space?

I am trying to learn an agent to solve a problem of 2n states and n actions where n~= 15000. I am using a DQN. Roughly 99.9% of actions return to the same state and only m of them change it, they essentially do a bit flip on the state. Each episode can last up to m state changes. Do you guys have any suggestions on what I should read to make my life easier with this problem?

submitted by /u/HalfArmBandit
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.