Direct Policy Search Reinforcement Learning Based on Variational Bayesian Inference.
Nobuhiko YamaguchiPublished in: J. Adv. Comput. Intell. Intell. Informatics (2020)
Keyphrases
- direct policy search
- variational bayesian inference
- reinforcement learning
- latent dirichlet allocation
- bayesian analysis
- function approximation
- mountain car
- topic models
- collapsed gibbs sampling
- reinforcement learning algorithms
- model free
- control problems
- machine learning
- markov decision processes
- state space
- data mining
- action selection
- generative model
- particle filter
- supervised learning
- learning process
- mobile robot