Deep Reinforcement Learning-Based Deterministic Routing and Scheduling for Mixed-Criticality Flows.
Hao YuTarik TalebJiawei ZhangPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- reinforcement learning
- scheduling problem
- deterministic domains
- reinforcement learning algorithms
- temporal difference
- scheduling algorithm
- learning process
- round robin
- flexible manufacturing systems
- network topology
- action selection
- state space
- network topologies
- routing problem
- markov decision processes
- learning algorithm
- real time database systems
- optimal control
- resource allocation
- routing protocol
- optimal policy
- parallel machines
- multi agent
- routing decisions
- neural network
- wafer fabrication
- model free
- resource constraints
- routing algorithm
- shortest path
- peer to peer
- dynamic programming
- lower bound