A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean-variance customer portfolio: The case of bank marketing campaigns.
Emma M. SánchezJulio B. ClempnerAlexander S. PoznyakPublished in: Eng. Appl. Artif. Intell. (2015)
Keyphrases
- reinforcement learning
- actor critic
- marketing campaigns
- function approximation
- optimal control
- temporal difference
- policy gradient
- marketing strategies
- knowledge discovery
- state space
- approximate dynamic programming
- electronic commerce
- neuro fuzzy
- reinforcement learning algorithms
- data mining
- knowledge management
- machine learning
- markov decision processes
- partially observable markov decision processes
- fuzzy rules
- utility function
- information retrieval