Work-in-Progress: Reinforcement Learning-Based DAG Scheduling Algorithm in Clustered Many-Core Platform.
Atsushi YanoTakuya AzumiPublished in: RTSS (2021)
Keyphrases
- scheduling algorithm
- reinforcement learning
- response time
- scheduling strategy
- directed acyclic graph
- function approximation
- load balance
- model free
- learning algorithm
- optimal scheduling
- real time
- scheduling policies
- machine learning
- grid environment
- multi agent
- optimal policy
- state space
- scheduling and resource allocation
- power saving
- resource requirements
- access latency