Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets.
Zhang-Wei HongAviral KumarSathwik KarnikAbhishek BhandwaldarAkash SrivastavaJoni PajarinenRomain LarocheAbhishek GuptaPulkit AgrawalPublished in: CoRR (2023)
Keyphrases
- imbalanced datasets
- uniform sampling
- reinforcement learning
- class distribution
- cost sensitive learning
- sample size
- class imbalance
- computational geometry
- decision trees
- sampling methods
- ensemble methods
- training dataset
- cost sensitive
- feature selection algorithms
- learning problems
- binary classification
- learning process
- training data
- training samples
- supervised learning
- learning algorithm