Improved Sample Complexity for Incremental Autonomous Exploration in MDPs.
Jean TarbouriechMatteo PirottaMichal ValkoAlessandro LazaricPublished in: CoRR (2020)
Keyphrases
- sample complexity
- theoretical analysis
- pac learning
- upper bound
- vc dimension
- markov decision processes
- learning problems
- lower bound
- special case
- learning algorithm
- supervised learning
- sample complexity bounds
- concept classes
- generalization error
- active learning
- sample size
- state space
- average case
- prior knowledge
- reinforcement learning
- covering numbers
- data sets