Variational Inference for Model-Free and Model-Based Reinforcement Learning.
Felix LeibfriedPublished in: CoRR (2022)
Keyphrases
- model free
- reinforcement learning
- bayesian inference
- variational methods
- posterior distribution
- function approximation
- exponential family
- probabilistic graphical models
- topic models
- exact inference
- gaussian process
- policy iteration
- temporal difference
- neural network
- probabilistic model
- factor graphs
- bayesian networks
- approximate inference
- closed form
- probability distribution
- parameter estimation
- natural language processing