Results show that both Genetic Programming and Adaptive Genetic Programming are viable algorithms for dynamic environments yielding a performance gain over Gradient Descent for lower dimensional ...

The theory of dynamic programming as used in most control applications relies heavily on the causal structure of the underlying dynamics. In this survey paper, we will show noncausal problems, such as ...