Update README.md

README.md

@@ -29,7 +29,7 @@ For using the implementation the following steps are helpful:
 | alpha|parameter for calculation of fitness|0.1|
 | e0|parameter for calculation of fitness|1|
 |nu|parameter for calculation of fitness|5|
-|thetaGA|threshold for average time period of action set to start the genetic algorithm procedure|15|
+|thetaGA|threshold for average time period of action set to start the genetic algorithm procedure|25|
 |pCrossover|probability for crossover during genetic algorithm|0.8|
 |pMutation|probability for mutation during genetic algorithm|0.04|
 |thetaDel|deletion threshold;if experience of Classifier is greater than threshold, its fitness my be considered in probability of deletion|20|
@@ -44,6 +44,7 @@ For using the implementation the following steps are helpful:
 |thetaSub|experience a classifier needs to be a subsumer|20|
 |seed|seed for the RandomNumberGenerator|20|
 |GAInExploitation|parameter if GA should take place in exploitation cycles|false|
+|discountFactorPA|parameter to discount the reward of the previous iteration|0.7|
 |possibleActionsPtr| Ptr to all possible actions for the environment| - |     
 
 ```cpp