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How come flop EVs tend to run really close to one another in trees with multiaction strategy profiles?
I don't understand the question, can you be more specific? It's not clear to me what you are comparing.
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Are you able to talk about the concept of a GTO strategy "sacrificing" EV in certain parts of the tree in order to achieve a balanced strategy?
The concept doesn't exist. The definition of the equilibrium is that no player can improve their EV by altering their strategy. That means that if you make not max EV action at some point it's not an equilibrium.
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I notice that on rivers (really in terminal nodes in general) you see a lot of situations where the solver wants to "Theory call" a -EV combo or even "theory fold" some marginally +EV calling combos in order to make the overall strategy unexploitable (is that what is going on in this screenshot?)
It's only because the solution is not perfect yet.
In the near future we will have a feature to make rivers more precise by recalculating on the fly (now it only happens when you load a small save) to mitigate that effect.
Notice that even on your screenshot the EV differences are relatively minor (in comparison to the pot size) and that you are looking at the very rare line to begin with (0.06% total).
Also please take note that the EVs are calculated against current solution (and not against exact equilibrium as we don't know what it is). The frequencies might already be almost perfect but the EVs will vary as even one small deviation (from the theoretical equilibirum) of one of the players will produce EV differences. The EVs provided are mainly useful as a sanity check. The closer they are for mixed actions the better the solution is.
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But in the non-terminal nodes you tend to see what you'd expect which is that the solver only choose the highest EV actions.
Well, it's not always the case. In general the more frequent the line is the more precise the solver is going to be there (as mistakes in frequent lines matter the most for overall exploitability).
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What is the definition of a Maximally Exploitative Strategy (MES)?
It's defined as a strategy that perfect adversary - one knowing our exact strategy in every spot and adjusting perfectly - would take.
In other words it's a strategy that can't be improved against us.
In perfect equilibrium both solutions are also MES'es to each other (although there exist many more MES strategies, all with the same EV but potentially different frequencies).
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Is the Nash equilibrium produced by the solver unique for a given configuration?
It's possible for many equilibrium strategies to exist. We even showed that on some toy games in the past. As long as the game is zero-sum (that is no rake and no ICM) all those strategies will have the same EV for both players. In practice it seems there is one equilibrium all the algorithms find so it's reasonable to assume there is just one for practical purposes. (again, without rake/ICM).
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Hello if I want to take in mind the these days in poker and calculate for 100nl game with 5% cap and 5$ max rake.
What do I need to put in Pio
for 1000nl is 5% with 5 chips
It's the easiest to multiply everything by 10. That means using cap of 50 and 5% for rake.
Sanity check is this: in 100NL game you pay max 5bb rake. You need to make it the same if you want to simulate it with higher blinds.