Multi-Agent Active Learning for Distributed Black-Box Optimization.
Loris CannelliMengjia ZhuFrancesco FarinaAlberto BemporadDario PigaPublished in: IEEE Control. Syst. Lett. (2023)
Keyphrases
- black box
- multi agent
- active learning
- cooperative
- black boxes
- hybrid systems
- white box
- multi agent systems
- rule extraction
- white box testing
- multi agent coordination
- optimization problems
- state transition
- intelligent agents
- integration testing
- multiagent systems
- distributed systems
- distributed environment
- random sampling
- optimization process
- optimization algorithm
- multiple agents
- learning process
- machine learning
- test cases
- peer to peer
- candidate solutions
- computational intelligence
- supervised learning
- reinforcement learning
- learning algorithm