Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation.
Zhouyou GuChangyang SheWibowo HardjawanaSimon LumbDavid McKechnieTodd EsseryBranka VuceticPublished in: CoRR (2020)
Keyphrases
- theoretical framework
- conceptual framework
- reinforcement learning
- collaborative knowledge building
- design process
- design theory
- knowledge base
- knowledge acquisition
- knowledge based systems
- theoretical foundation
- domain knowledge
- design principles
- statistical learning theory
- machine learning
- learning process
- function approximation