No-Regret Bayesian Optimization with Gradients Using Local Optimality-Based Constraints: Application to Closed-Loop Policy Search
Author:
Affiliation:
1. University of California,Dept. of Chemical and Biomolecular Engineering,Berkeley,CA,94720
2. The Ohio State University,Dept. of Chemical and Biomolecular Engineering,Columbus,OH,43210
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383493.pdf?arnumber=10383493
Reference22 articles.
1. A tutorial on Bayesian optimization;Frazier;arXiv preprint,2018
2. Adversarially robust Bayesian optimization for efficient auto‐tuning of generic control structures under uncertainty
3. Performance-oriented model learning for control via multi-objective Bayesian optimization
4. Performance-Driven Cascade Controller Tuning With Bayesian Optimization
5. Local policy search with Bayesian optimization;Müller;Advances in Neural Information Processing Systems,2021
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