Adaptive Critic Designs and Implementations

这个基于成就的更新项目继续着PI关于一种新的类似大脑的智能控制方法的PI，称为基于模型的自适应批评。它将试图统一我们对这种方法的理解，因为它涉及到竞争的方法，如随时间推移的蛮力优化、经典方法、通过时间的反向传播等。它将基于这种方法开发和研究新的设计。此外，它还将试图加深对稳定性和收敛问题的理解，这些问题对现实世界的行业应用程序非常重要。

This Accomplishment-Based Renewal project continues the PI on a new approach to brain-like intelligent control called `Model Based Adaptive Critics.` It will attempt to unify our understanding of this approach as it relates to competing approaches such as brute-force optimization over time, classical methods, backpropagation through time, and so on. It will develop and investigate new designs based on this approach. In addition, it will attempt to generate a deeper understanding of stability and convergence issues important to real-world industry applications.