Exploring State Transition Uncertainty in Variational Reinforcement Learning.
Jen-Tzung ChienWei-Lin LiaoIssam El-NaqaPublished in: EUSIPCO (2020)
Keyphrases
- state transition
- reinforcement learning
- state space
- transition model
- state transition model
- state transitions
- input output
- hidden markov models
- black box
- markov chain
- finite state machines
- function approximation
- image segmentation
- reinforcement learning algorithms
- probability distribution
- partial observability
- model free
- action space
- optimal policy
- markov decision processes
- dynamic programming
- learning algorithm
- machine learning
- database
- particle filter
- action selection
- object oriented
- relational databases
- databases