greedily weighted random rollout

utils.jl

@@ -4,6 +4,7 @@ using JSON
 using LightGraphs
 using NearestNeighbors
 using Statistics
+using StatsBase
 using BenchmarkTools
 using LinearAlgebra
 using PlotlyJS
@@ -487,8 +488,9 @@ function greedish_rollout(cdata::contourdata)
             dep_times[c] = mean(contour_order[deps])
         end
         temp_avail_list = collect(avail_contours)
-        _,i = findmax(dep_times[temp_avail_list])
-        c = temp_avail_list[i] # contour with deps printed most recently
+        w = dep_times[temp_avail_list]
+        w = w .- minimum(w)*0.9
+        c = sample(temp_avail_list, Weights(w))
         push!(rollout, c)
         contour_order[c] = length(rollout)