Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning.
Samin Yeasar ArnobRiashat IslamDoina PrecupPublished in: CoRR (2021)
Keyphrases
- complexity analysis
- reinforcement learning
- theoretical analysis
- small sample
- state space
- relative importance
- function approximation
- machine learning
- real time
- learning algorithm
- lower bound
- first order logic
- reinforcement learning algorithms
- model free
- dynamic programming
- expert systems
- database
- evolutionary algorithm
- information retrieval
- data sets
- stochastic approximation