Learning Generative Models for Active Inference Using Tensor Networks.
Samuel T. WauthierBram VanheckeTim VerbelenBart DhoedtPublished in: IWAI (2022)
Keyphrases
- generative model
- boltzmann machine
- discriminative learning
- parameter learning
- learning process
- learning algorithm
- probabilistic model
- structured prediction
- prior knowledge
- conditional random fields
- hierarchical hidden markov models
- representational power
- hidden variables
- mixture model
- higher order
- reinforcement learning
- object categorization
- supervised learning