Just guys if you are wondering - for baseline comparison
action = [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.7, 0.1, 0.1, 0.1, 0.886927] * 2
gives you about ~60 reward, more or less depends on starting position etc.
How I found it? I tried to make a symmetric vector of constant parameters and started from [0.1] * 22. Then I pulled each muscle and observed through visualisation the effect of it.
After founding that [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.7, 0.1, 0.1, 0.1, 0.8] stands a little longer than usual (e.g. 10 reward), I manually tuned 0.8 coefficient to make longest standing. I tuned 0.8 coefficient manually via binary search, that’s why it is so weird looking.
I spend like 1 hour for it, it is an easy one solution.