smurfpiss
smurfpiss t1_ivaf5ia wrote
Reply to comment by smallest_meta_review in [R] Reincarnating Reinforcement Learning (NeurIPS 2022) - Google Brain by smallest_meta_review
Not experienced With RL much, but how is that different than an algorithm going through training iterations?
In that case the parameters are tweaked from past learned parameters. What's the benefit of learning from another algorithm? Is it some kind of weird offspring of skip connections and transfer learning?
smurfpiss t1_it82yz2 wrote
>Anyone who has actually worked with ML will know that the above statement is blatantly not true! it's amazing that such a blog manages to come up so often in google hits...
You do not use ROC curves with imbalanced classes. It's concerning that you think that is wrong.
Thank you for coming to my Ted talk.
smurfpiss t1_ivah7ul wrote
Reply to comment by smallest_meta_review in [R] Reincarnating Reinforcement Learning (NeurIPS 2022) - Google Brain by smallest_meta_review
So, transfer learning but with different architectures? That's pretty neat. Will give it a read thanks 😊