Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications.
Maoxin JiQiong WuPingyi FanNan ChengWen ChenJiangzhou WangKhaled B. LetaiefPublished in: CoRR (2024)
Keyphrases
- resource allocation
- neural network
- reinforcement learning
- function approximators
- resource allocation problems
- resource management
- optimal resource allocation
- function approximation
- resource requirements
- scarce resources
- directed graph
- allocation problems
- random walk
- game theory
- power allocation
- communication systems
- multi agent
- learning algorithm
- machine learning
- resource allocation decisions
- state space
- trading agents
- allocation strategies
- resource availability
- allocate resources
- market equilibrium
- dynamic resource allocation
- distributed resource allocation
- maximum flow
- reinforcement learning algorithms
- combinatorial auctions
- load balancing
- optimal policy
- learning process