enDRTS: Deep Reinforcement Learning Based Deterministic Scheduling for Chain Flows in TSN.
Dong YangKai GongWeiting ZhangKuo GuoJia ChenPublished in: NaNA (2023)
Keyphrases
- reinforcement learning
- deterministic domains
- scheduling problem
- scheduling algorithm
- resource allocation
- parallel machines
- function approximation
- state space
- optimal policy
- action selection
- reinforcement learning algorithms
- flexible manufacturing systems
- dynamic scheduling
- round robin
- resource constraints
- real time database systems
- temporal difference
- data sets
- partially observable domains
- optimal control
- black box
- markov decision processes
- dynamic programming
- multi agent
- machine learning
- deep learning
- single machine
- temporal difference learning
- hidden state
- transition model
- policy search
- symbolic model checking
- objective function