To run a rule-based player experiment:
Run the command “java <Player Class> <Generations> <Iterations>
Where: 
<Player Class> is the java class of the rule-based player in question. 
	Possible Values for Player Class:
		PlayerBeatingBonuses
		PlayerWizardofOdds
		PlayerH17
		PlayerS17
<Iterations> is the number of hands played per generation. (Default 100,000 hands) 
<Generations> is the number of generations run. (Default 25 generations) 
The program will display the results on the screen and record them in text files.


To run a genetic learning team experiment: 
Run the command “java <Team Class> <Generations> <Iterations> <Training Iterations>” 
Where: 
<Team Class> is the java class of the genetic learning team in question. 
	Possible Values for Team Class:
		TeamGeneticLearning
		TeamGeneticLearningFuzzy
		TeamGeneticLearningHeadstart
		TeamGeneticLearningMemory
<Iterations> is the number of hands per exhibition match. (Default 100,000 hands) 
<Generations> is the number of generations run. (Default 25 generations) 
<Training Iterations> is the number of hands per player during training (Default 1000 hands) 
The program will display the results on the screen and record them in text files.

To change the initialization of a genetic learning team for an experiment: 
1) Edit the java file for the team 
2) In the “main” method, find the line “<Team Type> TeamGL = new <Team Type>()” 
3) Inside the parentheses enter one of the following: 
a. “S17” to start with Dealer S17 rules. 
b. “H17” to start with Dealer H17 rules. 
c. “WoO” to start with Wizard of Odds rules. 
d. “BB” to start with “Beating Bonuses” rules. 
e. If it’s left blank, or anything else is used, it will randomly generate the starting values. 
4) Save. 
5) Comple (“javac <Team Class>.java”) 
6) Run