Selecting actions for resource-bounded information extraction using reinforcement learning.
Pallika H. KananiAndrew McCallumPublished in: WSDM (2012)
Keyphrases
- resource bounded
- information extraction
- reinforcement learning
- information gathering
- rational agents
- perceptual aliasing
- action selection
- autonomous agents
- meta level
- action space
- machine learning
- state space
- reward function
- information retrieval
- learning algorithm
- multi agent
- markov decision processes
- goal directed
- dynamic programming
- high level
- decision process
- game theoretic
- decision theoretic
- decision theory
- information fusion
- knowledge base
- decision making