I really find this method of training policies really intersting.
Some things i did to make 2 (or more) latent encoders talk to each other.
I keep coming back to the Extended Kalman Filter (EKF) every time I touch state estimation on a drone or a rover. It's one of those algorithms that looks like alphabet soup the first time you read it, but is actually a pretty simple idea wearing a trench coat of linear algebra.
Bias vs. Variance (When talking about Reinforcement Learning) The λ parameter is like a dial to balance bias and variance. This determines how quickly...