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