Hyperparameter Selection for Offline Reinforcement Learning.
Tom Le PaineCosmin PaduraruAndrea MichiÇaglar GülçehreKonrad ZolnaAlexander NovikovZiyu WangNando de FreitasPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- data sets
- markov decision processes
- learning algorithm
- case study
- hidden markov models
- transfer learning
- selection criteria
- reinforcement learning algorithms
- action selection
- model free
- selection strategy
- gaussian processes
- optimal control
- model selection
- state space
- decision trees
- data mining