New answers tagged

1

If X is your 6D vector and m(X) is the mutated version of X, then you can renormalise the mutant back to unity by dividing by the sum of X, i.e. X' = m(X)/sum(X). However, I encourage you figure out how to mutate a vector while keeping the length of the vector at 1. One way to do this would be to randomly rotate your vector in 6D space. The length should ...


0

In order to have anything resembling reinforcement learning you must at the very least have a set of states $S$ and a set of actions $A$. In your formulation I can vaguely identify the set of states $S$ as all possible $(x,y,z)$ triplets. But don't see anything in your description that could be interpreted as a set of actions $A$. You either oversimplified ...


Top 50 recent answers are included