Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees.
Cangqing WangMingxiu SuiDan SunZecheng ZhangYan ZhouPublished in: CoRR (2024)
Keyphrases
- theoretical analysis
- generalization bounds
- reinforcement learning
- learning problems
- learning theory
- data dependent
- generalization ability
- vc dimension
- sample complexity
- convex combinations
- linear classifiers
- model selection
- learning algorithm
- statistical learning theory
- ranking algorithm
- learning machines
- convergence rate
- uniform convergence
- machine learning
- learning tasks
- multi task
- ranking functions
- supervised learning
- support vector machine
- active learning
- learning process
- support vector
- decision trees