Hi, shangtong
I am reading the book and following your implementation code.
In chapter 9, the random walk example, the book mentioned V(s, w) = W*S, where in random walk the state is 1 dimension, in its simplest form it could be like V(s, w) = w_1*s + w_0, but I wonder what if the state has 2 or more components?
say, S = S(position, time), how to rewrite the above function? Is it V(s, w) = w_1*(position + time) + w_0?
Hi, shangtong I am reading the book and following your implementation code. In chapter 9, the
random walk
example, the book mentionedV(s, w) = W*S
, where inrandom walk
the state is 1 dimension, in its simplest form it could be likeV(s, w) = w_1*s + w_0
, but I wonder what if the state has 2 or more components? say,S = S(position, time)
, how to rewrite the above function? Is itV(s, w) = w_1*(position + time) + w_0
?