Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks.
Helin YangJun ZhaoKwok-Yan LamSahil GargQingqing WuZehui XiongPublished in: WiMob (2021)
Keyphrases
- resource allocation
- heterogeneous networks
- reinforcement learning
- resource management
- heterogeneous information networks
- resource allocation problems
- learning algorithm
- optimal resource allocation
- state space
- allocation strategies
- machine learning
- reinforcement learning algorithms
- multiple types
- markov decision processes
- allocate resources
- learning process
- optimal policy
- allocation problems
- scarce resources
- resource allocation and scheduling
- link prediction
- communication networks
- social networks
- combinatorial auctions
- transfer learning
- dynamic programming
- dynamic resource allocation
- active learning
- multi agent
- social network analysis
- supervised learning