Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation.
Zhouyou GuChangyang SheWibowo HardjawanaSimon LumbDavid McKechnieTodd EsseryBranka VuceticPublished in: IEEE J. Sel. Areas Commun. (2021)
Keyphrases
- theoretical framework
- conceptual framework
- reinforcement learning
- design process
- theoretical foundation
- design theory
- collaborative knowledge building
- knowledge based systems
- machine learning
- domain knowledge
- knowledge acquisition
- design principles
- conceptual model
- learning algorithm
- web services
- statistical learning theory