Continuous probabilistic model building genetic network programming using reinforcement learning.
Xianneng LiKotaro HirasawaPublished in: Appl. Soft Comput. (2015)
Keyphrases
- reinforcement learning
- genetic network programming
- state space
- probabilistic model
- function approximation
- continuous state spaces
- action space
- machine learning
- association rules
- continuous state and action spaces
- association rule mining
- markov decision processes
- probabilistic logic
- control problems
- continuous domains
- model free
- transfer learning
- data driven
- transition model
- probabilistic approaches
- robotic control
- learning algorithm
- multi agent
- probability theory
- reinforcement learning algorithms
- mobile robot
- probabilistic reasoning
- optimal control
- data sets
- generative model
- dynamic programming