Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges.
Zehui XiongYang ZhangDusit NiyatoRuilong DengPing WangLi-Chun WangPublished in: IEEE Veh. Technol. Mag. (2019)
Keyphrases
- reinforcement learning
- lessons learned
- mobile phone
- mobile devices
- function approximation
- open issues
- state space
- database
- mobile services
- technical challenges
- temporal difference
- mobile environments
- mobile platform
- handheld devices
- reinforcement learning algorithms
- model free
- communication technologies
- mobile technologies
- mobile applications
- key issues
- dynamic programming
- learning algorithm
- real world