Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges.
Giorgio FranceschelliMirco MusolesiPublished in: J. Artif. Intell. Res. (2024)
Keyphrases
- reinforcement learning
- lessons learned
- function approximation
- artificial intelligence
- generative model
- intelligent systems
- expert systems
- machine learning
- technical challenges
- case based reasoning
- multi agent
- data driven
- real world
- ai systems
- key issues
- learning algorithm
- knowledge representation
- temporal difference
- reinforcement learning algorithms
- model free
- wisdom web
- scientific communities
- ai community
- open systems
- lecture notes in artificial intelligence
- unsupervised learning
- computer science
- hidden markov models
- state space