Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter.
Soumyendu SarkarVineet GundechaAlexander ShmakovSahand GhorbanpourAshwin Ramesh BabuPaolo FaraboschiMathieu CochoAlexandre PichardJonathan FievezPublished in: AAAI (2022)
Keyphrases
- energy efficiency
- multi agent reinforcement learning
- energy consumption
- power consumption
- wireless sensor networks
- control method
- energy efficient
- data center
- sensor networks
- energy saving
- energy management
- response time
- routing protocol
- energy conservation
- control algorithm
- multi agent
- power management
- sensor nodes
- multi agent systems
- smart home
- control system
- learning agents
- energy aware
- multi agent learning
- reinforcement learning
- network lifetime
- cluster head
- control architecture
- control strategy
- fuzzy controller
- battery powered
- expert systems
- cooperative
- fed induction generator
- reduce the energy consumption
- real time
- routing algorithm
- stochastic games
- distributed control
- multi hop
- optimal control
- robotic systems
- autonomous agents
- artificial intelligence
- neural network