-based state abstraction and knowledge discovery in reinforcement learning.
Nahid TaherianMohammad Ebrahim ShiriPublished in: Intell. Data Anal. (2014)
Keyphrases
- model free
- state abstraction
- reinforcement learning
- knowledge discovery
- reinforcement learning algorithms
- hierarchical reinforcement learning
- state space
- function approximation
- reinforcement learning agents
- machine learning
- markov decision processes
- data mining
- policy iteration
- learning algorithm
- association rules
- multi agent
- data mining techniques
- action selection
- data analysis
- learning classifier systems
- partially observable
- interesting patterns
- shortest path
- markov decision process
- action space
- function approximators
- bayesian networks
- optimal control