How to Leverage Unlabeled Data in Offline Reinforcement Learning.
Tianhe YuAviral KumarYevgen ChebotarKarol HausmanChelsea FinnSergey LevinePublished in: ICML (2022)
Keyphrases
- unlabeled data
- reinforcement learning
- labeled data
- semi supervised learning
- supervised learning
- semi supervised
- learning algorithm
- co training
- active learning
- transfer learning
- semi supervised classification
- data points
- labeled and unlabeled data
- training data
- labeled examples
- text classification
- labeled training data
- training set
- machine learning
- text categorization
- number of labeled examples
- small set of labeled
- supervised learning algorithms
- class labels
- positive examples
- prior knowledge
- domain adaptation
- data sets
- training examples
- unlabeled instances
- decision boundary
- learning problems
- multi view
- labeled instances
- information retrieval
- select relevant features
- learning tasks
- semisupervised learning
- supervised and semi supervised