Bellman error methods, approximate linear programming, approximate dynamic programming with cost-to-go function, etc. 一个令人印象深刻的案例是,Tesauro在[85]中开发的西洋棋游戏程序,它极大的推动了后续的
Adaptive Dynamic Programming: An Introduction In this article, we introduce some recent research trends within the field of adaptive/approximate dynamic programming (ADP), including the variations on t... FY Wang,H Zhang,D Liu - 《IEEE Computational Intelligence Magazine》 被引量: 749发表: 2009年...
Keywords:Adaptivedynamicprogramming(ADP),Impulsesystem,Optimalcontrol,Neuralnetwork doi:lO.1631/jzus.C1300145 Documentcode:A CLCnumber:TP273.1 1Introduction Impulsesystemcontrol has attractedmuch attentionrecently (Lakshmikanthameta1.,1989; BainovandSimeonov19951.Animpulsivedifer— ...
In particular, convergence and optimality results of value iteration and policy iteration are reviewed, followed by an introduction to the most recent results on stability analysis of value iteration algorithms.Derong LiuMingming HaShan XueCAAI Artificial Intelligence Research...
fact, the optimal control for time-delay systems is an infinite- dimensional control problem [8], which is hard to be solved. However, because adaptive (approximate) dynamic programming is a powerful tool for solving optimal control problems [9–11], the optimal control based on ADP attract...
Adaptive dynamic programming(ADP), as the most brilliant reinforcement learning(RL)-based algorithm [19–24], was first proposed by Werbos to develop an optimal controller [25]. As an effective learning method, the ADP method is often used to solve the Nash equilibrium solution of the multi-...
Principle of Adaptive Dynamic Programming Abstract Each chapter should be preceded by an abstract (10–15 lines long) that summarizes the content. The abstract will appearonlineatwww.SpringerLink.comand be available with unrestricted access. This allows unregistered users to read the abstract as a ...
In classical optimal control schemes, the derived ARE or HJB equations are usually solved in an offline manner [12]. With the wish to solve the optimal control problem online, reinforcement learning (RL) was further explored, leading to the named adaptive dynamic programming (ADP) method [13]...
Abstract Introduction Preliminaries of WOA and DOL The presented EWOA Experiment results and discussion Conclusion References Acknowledgements Author information Ethics declarations Additional information Supplementary Information Appendices Rights and permissions About this article AdvertisementDiscover...
1. Introduction 2. Background on association rule mining 3. Existing techniques 4. Adaptive techniques 5. Research questions 6. Empirical investigation 7. Results 8. Discussion 9. Related work 10. Concluding remarks Acknowledgments ReferencesShow full outline Cited by (5) Figures (9) Show 3 mor...