Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning.
Arnaud RobertCiara Pike-BurkeAldo A. FaisalPublished in: NeurIPS (2023)
Keyphrases
- sample complexity
- hierarchical reinforcement learning
- theoretical analysis
- upper bound
- vc dimension
- learning problems
- pac learning
- generalization error
- special case
- supervised learning
- lower bound
- reinforcement learning
- learning algorithm
- active learning
- state abstraction
- decision problems
- training examples
- probabilistic model