Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Gen LiYuting WeiYuejie ChiYuantao GuYuxin ChenPublished in: CoRR (2020)
Keyphrases
- generative model
- sample size
- model based reinforcement learning
- markov decision processes
- probabilistic model
- model selection
- reinforcement learning
- upper bound
- bayesian framework
- em algorithm
- hyperparameters
- random sampling
- prior knowledge
- latent dirichlet allocation
- posterior probability
- semi supervised
- conditional random fields
- progressive sampling
- topic models
- expectation maximization
- state space
- markov chain monte carlo
- text classification
- graphical models
- worst case
- lower bound