Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing.
Han ZhangHao ZhouMelike Erol-KantarciPublished in: CoRR (2022)
Keyphrases
- resource allocation
- reinforcement learning
- function approximation
- resource management
- optimal resource allocation
- resource allocation problems
- state space
- game theory
- markov decision processes
- resource requirements
- allocation strategies
- temporal difference
- digital libraries
- allocation problems
- learning process
- resource allocation decisions
- distributed systems
- data sources
- allocate resources
- reinforcement learning algorithms
- learning algorithm
- resource availability
- distributed resource allocation
- trading agents
- model free
- combinatorial auctions
- management system
- multi agent
- resource usage
- grid environment
- dynamic resource allocation
- machine learning
- resource allocation and scheduling