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Training Strategies For Critic And Action Neural Networks In Dual Heuristic Programming Method, Christian Peter Paintz
Training Strategies For Critic And Action Neural Networks In Dual Heuristic Programming Method, Christian Peter Paintz
Dissertations and Theses
This thesis discusses strategies for and details of training procedures for the Dual Heuristic Programming (DHP) methodology. This and other approximate dynamic programming approaches (HDP, DHP, GDHP) have been discussed in some detail in the literature, all being members of the Adaptive Critic Design (ACD) family. The example applications used here are the inverted pendulum problem and a fully nonlinear constant velocity bicycle steering model. The inverted pendulum has been successfully controlled using DHP, as reported in the literature. This thesis suggests and investigates several alternative D HP training procedures and compares their performance with respect to convergence speed and …