Generative Adversarial Symmetry Discovery
Jianke Yang, Robin Walters, et al.
ICML 2023
We present a technique for approximating sequences of linear programs with varying right-hand sides and study the geometric properties of this approximation. Our approximation has an efficiency advantage over optimal solutions. When applied to deterministic control problems, the suggested technique outperforms the linear feedback model and provides accurate results (error of 5.8% in our numerical example). Numerical experience with stochastic models indicates that this approach may outperform the limited lookahead policies while maintaining low computational requirements.
Jianke Yang, Robin Walters, et al.
ICML 2023
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
Leo Liberti, James Ostrowski
Journal of Global Optimization
Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems