DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling.
Penghao SunZehua GuoJunchao WangJunfei LiJulong LanYuxiang HuPublished in: IJCAI (2020)
Keyphrases
- reinforcement learning
- identical parallel machines
- job scheduling
- batch processing
- job shop
- release dates
- identical machines
- scheduling problem
- deteriorating jobs
- scheduling jobs
- release times
- processing times
- maximum lateness
- scheduling algorithm
- learning algorithm
- single machine
- fixed number
- single machine scheduling problem
- round robin
- batch processing machines
- scheduling decisions
- function approximation
- markov decision processes
- reinforcement learning algorithms
- flowshop
- model free
- temporal difference
- optimal policy
- job shop scheduling
- parallel machines
- resource allocation
- resource constraints
- dynamic programming
- completion times
- flexible manufacturing systems
- state space
- sequence dependent setup times
- machine learning
- deep learning
- supervised learning
- competitive ratio
- real time database systems
- tabu search
- response time
- limited capacity
- multi agent
- neural network
- shortest processing time