Sample Complexity of Incentivized Exploration.
Mark SellkeAleksandrs SlivkinsPublished in: CoRR (2020)
Keyphrases
- sample complexity
- theoretical analysis
- pac learning
- upper bound
- learning problems
- learning algorithm
- active learning
- special case
- vc dimension
- generalization error
- lower bound
- supervised learning
- training examples
- sample size
- pac learnability
- number of irrelevant features
- uniform convergence
- average case
- sample complexity bounds
- model selection
- linear threshold
- covering numbers
- active exploration
- reinforcement learning
- cross validation
- small number
- semi supervised
- data mining