Multi-Agent Deep Reinforcement Learning-Based Flexible Satellite Payload for Mobile Terminals.
Xin HuXianglai LiaoZhijun LiuShuaijun LiuXin DingMohamed HelaouiWeidong WangFadhel M. GhannouchiPublished in: IEEE Trans. Veh. Technol. (2020)
Keyphrases
- reinforcement learning
- multi agent
- mobile terminals
- wireless communication
- personal computer
- learning agents
- state space
- multi agent environments
- multi agent systems
- cellular phones
- learning algorithm
- markov decision processes
- reinforcement learning agents
- mobile devices
- optimal policy
- location information
- intelligent agents
- video files
- network traffic
- cost effective
- real time
- computer simulation
- data sources
- data mining
- databases