Sample Complexity of Kernel-Based Q-Learning.
Sing-Yuan YehFu-Chieh ChangChang-Wei YuehPei-Yuan WuAlberto BernacchiaSattar VakiliPublished in: AISTATS (2023)
Keyphrases
- sample complexity
- learning algorithm
- learning problems
- reinforcement learning
- kernel methods
- theoretical analysis
- pac learning
- supervised learning
- sequential decision problems
- upper bound
- vc dimension
- state space
- multi agent
- generalization error
- special case
- active learning
- support vector machine
- pac learnability
- concept classes
- multiple kernel learning
- learning rate
- training examples
- lower bound
- machine learning
- support vector
- sample size
- machine learning algorithms
- dynamic programming
- learning tasks
- sample complexity bounds
- feature space
- learning experience
- prior knowledge
- unsupervised learning