Federated Reinforcement Learning-Based Resource Allocation in D2D-Enabled 6G.
Qi GuoFengxiao TangNei KatoPublished in: IEEE Netw. (2023)
Keyphrases
- resource allocation
- reinforcement learning
- resource management
- function approximation
- resource allocation problems
- optimal resource allocation
- allocation strategies
- temporal difference
- state space
- resource allocation decisions
- game theory
- digital libraries
- markov decision processes
- multi agent
- resource consumption
- model free
- reinforcement learning algorithms
- allocation problems
- combinatorial auctions
- machine learning
- optimal policy
- data sources
- dynamic programming
- resource requirements
- power allocation
- dynamic resource allocation
- learning process
- job scheduling
- supply chain
- scarce resources
- market equilibrium