Multiobjective control problems by reinforcement learning

摘要: Chapter 11 used hierarchical methods to solve multi-objective tasks. This chapter takes a different approach, using fuzzy control techniques. The mathematical background of multi-objective control and optimization is provided and a framework for an ADP algorithm with vector-valued rewards is introduced. Theoretical analyses are given to show certain convergence properties. A detailed algorithm implementation is presented, along with a cart-pole example.