We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...
Department of Chemistry, Rice University, Houston, Texas 77005, United States Center for Theoretical Biological Physics, Rice University, Houston, Texas 77005, United States Department of Chemical and ...
Abstract: In this study, the adaptive dynamic programming (ADP)-based fixed-time optimal trajectory tracking control is investigated for wheeled mobile robots. An ADP-based fixed-time optimal tracking ...
Abstract: This letter introduces a differential dynamic programming (DDP) based framework for polynomial trajectory generation for differentially flat systems. In particular, instead of using a linear ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback