Multiagent Deep Reinforcement Learning for Task Offloading and Resource Allocation in Cybertwin-Based Networks.
Wenjing HouHong WenHuanhuan SongWenxin LeiWei ZhangPublished in: IEEE Internet Things J. (2021)
Keyphrases
- resource allocation
- multiagent learning
- multi agent
- reinforcement learning
- resource allocation problems
- resource management
- allocation problems
- dynamic resource allocation
- allocation strategies
- multiagent systems
- optimal resource allocation
- game theory
- function approximation
- social welfare
- resource allocation and scheduling
- resource requirements
- distributed resource allocation
- scarce resources
- learning agents
- autonomous agents
- market equilibrium
- multi agent systems
- flow network
- allocate resources
- resource consumption
- trading agents
- machine learning
- single agent
- markov decision processes
- intelligent agents
- optimal policy
- decision making