use a td learner to predict the cumulative learner, instead of a hand-written criteria. Now testing if the td-learner can predict based on errors and progress of the short-term memory
tdLearner as a fitness function for deprecation seems a viable solution. this version is for deprecating predictors once the fitness function has been learned with td. should probably change the inputs to this fitness function
changed environment. a few modifs
 after merge