Resource Allocation in Decentralized, Self-organized, Multi-agent Industrial Systems Using Deep Deterministic Policy Gradient.
Y. VytruchenkoC. NentwichM. SauerJ. NicklesPublished in: IEEM (2021)
Keyphrases
- multi agent
- industrial systems
- resource allocation
- policy gradient
- complex systems
- single agent
- decentralized decision making
- reinforcement learning
- multi agent systems
- industrial applications
- computational intelligence
- fault diagnosis
- negotiation mechanism
- cooperative
- intelligent systems
- partially observable markov decision processes
- function approximation
- reinforcement learning algorithms
- resource allocation problems
- gradient method
- optimal control
- multiple agents
- optimal resource allocation
- autonomous agents
- game theory
- multiagent systems
- stochastic games
- state space
- variance reduction
- reinforcement learning methods
- combinatorial auctions
- incomplete information
- optimal policy
- neural network
- real time