Reinforcement Learning for Analog Sizing Optimization.
Michel ChevalierSeverin TrochutRoberto GuizzettiPascal UrardLioua LabrakJohn SamuelRemy CellierNacer AbouchiPublished in: SMACD (2023)
Keyphrases
- reinforcement learning
- optimization algorithm
- discrete optimization
- optimization problems
- power losses
- learning process
- optimization method
- optimization process
- multi agent
- machine learning
- global optimization
- optimal policy
- successive approximation
- circuit design
- markov decision process
- optimal control
- combinatorial optimization
- supervised learning
- state space
- objective function
- learning algorithm