Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model.
Gen LiYuting WeiYuejie ChiYuxin ChenPublished in: Oper. Res. (2024)
Keyphrases
- generative model
- sample size
- model based reinforcement learning
- markov decision processes
- probabilistic model
- model selection
- reinforcement learning
- random sampling
- upper bound
- bayesian framework
- em algorithm
- posterior probability
- prior knowledge
- hyperparameters
- conditional random fields
- latent dirichlet allocation
- semi supervised
- progressive sampling
- worst case
- graphical models
- text mining
- structure learning