Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks.
Timothy J. O'SheaTamoghna RoyNathan E. WestPublished in: CoRR (2018)
Keyphrases
- prior knowledge
- learning process
- learning algorithm
- accurate models
- reinforcement learning
- active learning
- probabilistic model
- fully connected
- unsupervised learning
- parameter estimation
- learning models
- complex systems
- connectionist networks
- structured prediction
- neural nets
- learning systems
- generative model
- bayesian methods
- learned models
- markov logic networks
- online learning
- collaborative learning
- stochastic models
- supervised learning