VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning.
Luisa M. ZintgrafSebastian SchulzeCong LuLeo FengMaximilian IglKyriacos ShiarlisYarin GalKatja HofmannShimon WhitesonPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- meta learning
- variational bayes
- model selection
- hyperparameters
- inductive learning
- learning tasks
- bayesian learning
- machine learning algorithms
- reinforcement learning
- latent variables
- cross validation
- bayesian inference
- decision trees
- gaussian mixture model
- exponential family
- feature selection
- machine learning
- free energy
- sample size
- posterior distribution
- data mining
- knowledge acquisition
- transfer learning
- log likelihood
- metamodel
- data sets