Deep Interactive Bayesian Reinforcement Learning via Meta-Learning.
Luisa M. ZintgrafSam DevlinKamil CiosekShimon WhitesonKatja HofmannPublished in: CoRR (2021)
Keyphrases
- meta learning
- bayesian reinforcement learning
- inductive learning
- learning tasks
- model selection
- optimal policy
- decision trees
- monte carlo tree search
- machine learning algorithms
- feature selection
- reinforcement learning
- base classifiers
- machine learning
- data mining
- data sets
- metamodel
- sufficient conditions
- markov random field
- monte carlo
- training data