Hybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures.
Christopher YeungBenjamin PhamZihan ZhangKatherine T. FountaineAaswath P. RamanPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- learning algorithm
- optimal design
- case study
- machine learning
- supervised learning
- structural design
- function approximation
- optimal policy
- evolutionary algorithm
- website
- computer aided
- optimum design
- design space exploration
- artificial intelligence
- hybrid learning
- design methodology
- engineering design
- multi agent
- learning process
- software architecture
- multi agent systems
- design process
- optimization problems
- expert systems
- least squares
- software engineering