Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning.
Loris Di NataleYing Zhao LianEmilio Tanowe MaddalenaJicheng ShiColin N. JonesPublished in: CoRR (2022)
Keyphrases
- lessons learned
- gaussian process
- data driven
- reinforcement learning
- gaussian processes
- optimal control
- regression model
- case study
- model selection
- approximate inference
- gaussian process classification
- bayesian framework
- control system
- semi supervised
- gaussian process regression
- latent variables
- hyperparameters
- covariance function
- learning algorithm
- machine learning
- expectation propagation
- gaussian process models
- graph cuts
- state space
- dynamic programming
- prior knowledge
- data sets
- sparse approximations
- decision trees
- learning process