Proper understanding of limitations of current methods about cs344-opponent-exploitation-poker HOT 4 CLOSED

EFR and CFR still assumes perfect rationality, we know this is not the case so we can apply opponent modelling to understand how the other players will deviate from the computed equilibrium, this will be a step performed after the EFR compuations.

L2 minisiation performs well (better than L1 in most regards in terms of expected wins).

See #10

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EFR hasn't had many performance enhancements applied, Monte Carlo methods and function approximation could allow speedups, even sufficiently to expand the set of behaviour deviations, note what will the effect of this be, why would we want to do this.

See #20

from cs344-opponent-exploitation-poker.

Abstraction is required for most forms of Poker to be tractable, are current methods sufficient, do they lose valuable information in the process, could more be abstracted away.

See #19

from cs344-opponent-exploitation-poker.

This issue was aimed to guide research and develop of new techniques for the project. Sufficient progress has been made on this topic for the progress report. More will be required for opponent modelling / exploitation.

from cs344-opponent-exploitation-poker.