Scalable Inverse Reinforcement Learning via Instructed Feature Construction.
Tomás SingliarDragos D. MargineantuPublished in: NeSy@AAAI (2012)
Keyphrases
- feature construction
- inverse reinforcement learning
- genetic programming
- data representation
- preference elicitation
- concept learning
- machine learning
- rule learning
- supervised learning
- reward function
- decision trees
- feature selection
- dimension reduction
- reinforcement learning
- artificial intelligence
- rough sets
- dimensionality reduction
- high dimensional data
- utility function
- evolutionary algorithm
- target concept
- data mining