If Cy is the cycle length for a royal, and L is the average loss of
a single hand (conditioned on not being a royal payoff) then the
average cost between royals is:
C = (Cy - 1) * L
To minimize, you can't just minimize L, and you can't just minimize
Cy, it is the overall product that matters. The optimal strategy for
this objective can be found by pretending that the royal payoff is
just large enough to give a breakeven game. When the royal
payoff is sized such that the max-EV strategy with that "virtual"
payoff gives a breakeven game, then the corresponding playing
strategy minimizes the average cost between royals. This is quite
non-intuitive, but true. When the breakeven game is found, the
virtual payoff is exactly equal to the cost of playing between royals,
because in a breakeven game royals occur just often enough to
"pay" their own cost. In fact, a little thought shows that this property
holds for all payoffs -- breakeven means that each payoff occurs
just often enough to pay its own cost.
If you compute the optimal strategy and then compare the
result to the normal max-EV strategy, you find:
A) If the game is favorable to the player, the min_cost_royal
strategy will have a longer royal cycle than the max-EV
strategy. This is because we pretend the royal is worth less
than it really is, until we reach a breakeven game. Thus we
try for royals less often.
B) If the game is unfavorable to the player, the min_cost_royal
strategy will have a shorter royal cycle than the max-EV
strategy. Here we pretend the royal is worth more than it
really is, until we find the payoff that gives a breakeven game.
So, we play more agressively and try for royals more often.
The min_cost_royal can also be viewed in the following way:
As mentioned above, the non-royal payoffs occur just often
to pay their own way. This means the overall gain or loss can
be treated as if it is all due to the royal payoff being too large/small
to make the game breakeven. This is a special property that only
holds for this strategy, in fact it could be claimed that this is the
defining characteristic of this game. In a sense, all the plays
can be divided into two cases -- plays where we try for a royal,
and plays where we bide our time in order to survive until our
next opportunity to try for a royal. If we looked only at the cases
where we "bide our time," we would see a fair game which favors
neither the casino nor the player. It is possible to develop a
mathematical model that demonstrates this, but I'm not going
to take the time right now to wade through that.
Here is another thing that I find interesting. The min_cost_royal
strategy tends to be very close to the strategy which minimizes
risk (or RoR). I have developed a framework for thinking about VP
which makes this almost obvious, but it takes a lot of effort to
explain, so I won't attempt that here. But in both cases, the
optimal strategy plays less aggressively (compared to max-EV)
when the game is favorable and more agressively when the
game is unfavorable. This difference between min_cost_royal
and min-risk is that min_cost_royal concentrates all of the
"unfairness" into the cases when we try for a royal, while
min-risk assigns most of the unfairness to royals and distributes
the remainder of the unfairness to the other payoffs.
···
On Friday 23 January 2004 08:32 am, lwluiki wrote:
--- In vpFREE@yahoogroups.com, Steve Jacobs <jacobs@x> wrote:
(snip)
8/5 JoB with 1000:1 royal payoff comes close with a cycle of 36443.
> If one plays to minimize the average cost of playing for a royal,
the
> cycle drops to 32573,
(snip)
As mentioned above, playing to minimize
> the average cost of losses between royals can bring the cycle well
> below 36,000.
********************************************************************
Can you explain that a little? One would think that playing to
minimize the average cost of losses between royals would increase
the length of the royal cycle.