Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach.
Jiazheng ChenWanchun LiuDaniel E. QuevedoYonghui LiBranka VuceticPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- scheduling problem
- function approximation
- scheduling algorithm
- model free
- data driven
- data transmission
- state space
- markov decision processes
- resource allocation
- machine learning
- flexible manufacturing systems
- optimal policy
- multi agent
- learning process
- multi agent systems
- reinforcement learning algorithms
- temporal difference learning
- round robin
- preventive maintenance
- multi agent reinforcement learning
- robotic control
- real time database systems
- resource utilization
- deep learning
- parallel machines
- transfer learning
- video sequences
- information systems