Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges.
Giorgio FranceschelliMirco MusolesiPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- artificial intelligence
- machine learning
- expert systems
- generative model
- case based reasoning
- key issues
- lessons learned
- open issues
- learning algorithm
- state space
- function approximation
- data mining
- discriminative learning
- model free
- learning problems
- intelligent systems
- computational intelligence
- knowledge representation
- case study
- real world
- markov decision processes
- unsupervised learning
- data driven
- technical challenges
- reinforcement learning algorithms
- ai community