Speeding Task Allocation Search for Reconfigurations in Adaptive Distributed Embedded Systems Using Deep Reinforcement Learning.
Ramón RotaecheAlberto BallesterosJulián ProenzaPublished in: Sensors (2023)
Keyphrases
- embedded systems
- reinforcement learning
- low cost
- computing power
- multi agent
- embedded devices
- resource limited
- embedded software
- distributed systems
- hw sw
- multi agent systems
- processing power
- real time embedded
- consumer electronics
- hardware software
- real time systems
- multiagent systems
- real time image processing
- safety critical
- machine learning
- communication technologies
- cooperative