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[P] Full Chainer Implementation OpenAI Random Network Distillation

I released my implementation of OpenAI’s Reinforcement Learning using Random Network Distillation. The implementation is fairly complete, done almost exactly as laid out in the paper. Check it out at https://github.com/AdeelMufti/RL-RND.

Interestingly, I tried it on PLE’s PixelCopter where I turned off the extrinsic rewards altogether, and it got roughly the same results with the extrinsic rewards. I wrote about it here: http://blog.adeel.io/2019/04/13/reinforcement-learning-using-intrinsic-rewards-through-random-network-distillation-in-chainer/

Someone with a free GPU sitting around mind spinning it up in Montezuma’s Revenge for a while? I’m curious to see what this implementation will achieve.

submitted by /u/ThisIsMySeudonym
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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.