Multi-Agent Reinforcement Learning for the Energy Optimization of Cyber-Physical Production Systems.
Jupiter BakakeuDominik KißkaltJörg FrankeShirin BaerHans-Henning KlosJörn PeschkePublished in: CCECE (2020)
Keyphrases
- production system
- multi agent reinforcement learning
- cyber physical
- multistage
- multi agent
- social networks
- expert systems
- physical world
- multiprocessor architecture
- energy consumption
- real time
- game theory
- reinforcement learning
- stochastic games
- learning agents
- multi agent learning
- cyber physical systems
- information processing
- e learning
- data mining