Learning Generative State Space Models for Active Inference.
Ozan ÇatalSamuel WauthierCedric De BoomTim VerbelenBart DhoedtPublished in: Frontiers Comput. Neurosci. (2020)
Keyphrases
- state space
- structured prediction
- prior knowledge
- discriminative learning
- reinforcement learning
- learning process
- learning algorithm
- markov logic networks
- dynamic bayesian networks
- unsupervised learning
- markov logic
- learned models
- learning models
- random fields
- probabilistic model
- inference process
- learning problems
- markov networks
- inductive inference
- markov decision processes
- efficient learning
- dynamical systems
- supervised learning
- dynamic programming
- active learning