Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
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
[link] [comments]