Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Gen LiYuting WeiYuejie ChiYuantao GuYuxin ChenPublished in: NeurIPS (2020)
Keyphrases
- sample size
- generative model
- model based reinforcement learning
- markov decision processes
- probabilistic model
- model selection
- reinforcement learning
- bayesian framework
- random sampling
- upper bound
- hyperparameters
- conditional random fields
- semi supervised
- prior knowledge
- em algorithm
- hidden variables
- posterior probability
- progressive sampling
- worst case
- expectation maximization
- latent dirichlet allocation
- optimal policy
- learning algorithm
- data sets
- graphical models
- text mining
- pairwise
- objective function
- bayesian networks
- markov chain monte carlo