A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning.
Juan Cruz BarsceJorge A. PalombariniErnesto C. MartínezPublished in: CoRR (2019)
Keyphrases
- parameter optimization
- reinforcement learning
- differential evolution
- genetic algorithm ga
- genetic algorithm
- parameter settings
- parameter estimation
- pid controller
- support vector machine
- real time
- state space
- learning algorithm
- maximum likelihood
- fitness function
- optical flow
- bayesian networks
- feature selection
- machine learning