Sample Complexity of Kernel-Based Q-Learning.
Sing-Yuan YehFu-Chieh ChangChang-Wei YuehPei-Yuan WuAlberto BernacchiaSattar VakiliPublished in: CoRR (2023)
Keyphrases
- sample complexity
- learning algorithm
- learning problems
- reinforcement learning
- kernel methods
- theoretical analysis
- pac learning
- vc dimension
- multi agent
- supervised learning
- upper bound
- sequential decision problems
- special case
- pac learnability
- generalization error
- active learning
- state space
- training examples
- learning rate
- support vector
- support vector machine
- lower bound
- optimal policy
- machine learning algorithms
- machine learning
- sample size
- concept classes
- irrelevant features
- sample complexity bounds
- learning tasks
- multiple kernel learning
- learning process
- average case
- training samples
- number of irrelevant features