Reinforcement Learning to Diversify Top-N Recommendation.
Lixin ZouLong XiaZhuoye DingDawei YinJiaxing SongWeidong LiuPublished in: DASFAA (2) (2019)
Keyphrases
- reinforcement learning
- function approximation
- state space
- reinforcement learning algorithms
- model free
- long tail
- temporal difference
- optimal policy
- robotic control
- learning process
- multi agent
- markov decision processes
- genetic algorithm
- databases
- temporal difference learning
- control problems
- evolutionary learning
- transition model
- continuous state
- perceptual aliasing
- fitted q iteration
- partially observable
- transfer learning
- learning environment
- decision trees
- decision making
- artificial intelligence
- machine learning