Exploration for Multi-task Reinforcement Learning with Deep Generative Models.
Sai Praveen BangaruJ. S. SuhasBalaraman RavindranPublished in: CoRR (2016)
Keyphrases
- multi task
- generative model
- reinforcement learning
- transfer learning
- learning problems
- learning tasks
- multi task learning
- discriminative models
- probabilistic model
- deep belief networks
- metric learning
- bayesian framework
- feature selection
- semi supervised
- learning algorithm
- multi class
- semi supervised learning
- sparse coding
- prior knowledge
- machine learning
- em algorithm
- labeled data
- kernel methods
- conditional random fields
- machine learning algorithms
- expectation maximization
- markov random field
- support vector machine
- maximum margin
- learning process
- data sets