Discovering Hierarchies for Reinforcement Learning Using Data Mining.
Dave MobleyJudy GoldsmithBrent HarrisonPublished in: FLAIRS Conference (2020)
Keyphrases
- action space
- reinforcement learning
- data mining
- state space
- markov decision processes
- action selection
- discovery process
- data mining applications
- market basket analysis
- machine learning
- knowledge discovery
- discovering patterns
- previously unknown
- data mining algorithms
- intrusion detection
- supervised learning
- association rules
- text mining
- reinforcement learning algorithms
- temporal difference
- association rule mining
- discovering interesting
- multi agent
- cluster analysis
- data mining methods
- learning algorithm
- knowledge discovery in databases
- hierarchical structure
- privacy preserving data mining
- data mining tasks
- data analysis
- business intelligence
- data warehouse
- robotic control
- decision making
- case study
- latest developments
- data mining problems
- dynamic programming
- customer relationship management
- data visualization
- computational intelligence
- data mining techniques
- optimal policy
- web mining
- model free
- pattern discovery
- function approximation