The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.
Rebekka Olsson OmslandseterLei JiaoXuan ZhangAnis YazidiB. John OommenPublished in: AI (2022)
Keyphrases
- learning automaton
- high accuracy
- learning automata
- continuous action
- high efficiency
- dynamic environments
- application specific
- current situation
- heterogeneous environments
- coarse to fine
- human actions
- functional requirements
- artificial intelligence
- case study
- situation calculus
- database
- user requirements
- information systems
- discrete geometry
- real world