Sequential Transfer in Reinforcement Learning with a Generative Model.
Andrea TirinzoniRiccardo PoianiMarcello RestelliPublished in: CoRR (2020)
Keyphrases
- generative model
- reinforcement learning
- transfer learning
- probabilistic model
- bayesian framework
- function approximation
- discriminative learning
- posterior probability
- conditional random fields
- prior knowledge
- em algorithm
- discriminative models
- latent dirichlet allocation
- machine learning
- semi supervised
- state space
- reward function
- maximum likelihood
- multiscale
- learning algorithm
- temporal difference
- scale space
- markov decision processes
- learning tasks
- learning process
- clustering algorithm
- markov chain monte carlo
- data sets