The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model.
Laixi ShiGen LiYuting WeiYuxin ChenMatthieu GeistYuejie ChiPublished in: CoRR (2023)
Keyphrases
- generative model
- reinforcement learning
- probabilistic model
- bayesian framework
- em algorithm
- posterior probability
- prior knowledge
- semi supervised
- discriminative learning
- discriminative models
- function approximation
- latent dirichlet allocation
- learning algorithm
- topic models
- co occurrence
- supervised learning
- generative and discriminative models
- monte carlo
- learning process
- data sets
- fisher kernel
- hierarchical bayesian model