A collaborative optimization strategy for computing offloading and resource allocation based on multi-agent deep reinforcement learning.
Yingying JiangYuxuan MaoGaoxiang WuZhenhua CaiYixue HaoPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- resource allocation
- optimization strategy
- reinforcement learning
- multi agent
- optimization algorithm
- resource management
- improved algorithm
- optimal resource allocation
- resource allocation problems
- allocate resources
- resource allocation and scheduling
- initial solution
- learning agents
- particle swarm
- state space
- distributed resource allocation
- negotiation mechanism
- dynamic resource allocation
- scarce resources
- combinatorial auctions
- cooperative
- markov decision processes
- machine learning
- single agent
- optimization method
- decentralized decision making
- multiagent systems
- particle swarm optimization
- learning algorithm
- multi agent systems
- allocation problems
- resource usage
- starting point
- multiple agents
- allocation strategies
- learning process
- neural network
- search algorithm
- iterative procedure
- resource allocation decisions
- global optimization