•Training using updating sequence in
reverse order speeds convergence.
•Tradeoff: Requires more memory
•Suppose exploration and learning cost
great time/expense.
•Can retrain on same data repeatedly.
•Ratio of old/new update sequences a
matter of
relative costs for problem domain.
