Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets.
Zhang-Wei HongAviral KumarSathwik KarnikAbhishek BhandwaldarAkash SrivastavaJoni PajarinenRomain LarocheAbhishek GuptaPulkit AgrawalPublished in: NeurIPS (2023)
Keyphrases
- imbalanced datasets
- uniform sampling
- reinforcement learning
- cost sensitive learning
- computational geometry
- class imbalance
- class distribution
- sample size
- ensemble methods
- decision trees
- training dataset
- sampling methods
- feature selection algorithms
- machine learning
- cost sensitive
- feature selection
- learning algorithm
- learning process
- low dimensional
- least squares
- pairwise
- data sets