Reinforcement Learning Using Negative Relevance Feedback.
Ki Jun SonJae-An LeeSeong-Bae ParkSang-Jo LeePublished in: ALPIT (2007)
Keyphrases
- relevance feedback
- reinforcement learning
- negative feedback
- image retrieval
- information retrieval systems
- function approximation
- learning algorithm
- cbir systems
- positive and negative
- query expansion
- exploration exploitation tradeoff
- document retrieval
- machine learning
- feature weighting
- active learning
- user feedback
- learning process
- pseudo relevance feedback
- robotic control
- multi agent
- multi agent reinforcement learning
- positive feedback
- reinforcement learning algorithms
- model free
- retrieval process
- learning problems
- retrieval model
- relevant documents
- query refinement
- feedback information
- markov decision processes
- transfer learning
- optimal control
- action selection
- image search
- dynamic programming
- supervised learning
- implicit relevance feedback