Handling Concept Drift in Non-stationary Bandit Through Predicting Future Rewards.
Yun-Da TsaiShou-De LinPublished in: PAKDD (Workshops) (2024)
Keyphrases
- non stationary
- concept drift
- predicting future
- bandit problems
- streaming data
- drifting concepts
- reinforcement learning
- drift detection
- batch learning
- autoregressive
- data stream mining
- data stream classification
- markov decision processes
- adaptive algorithms
- image analysis
- data distribution
- data streams
- pattern recognition