Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling.
Nathan GrinsztajnOlivier BeaumontEmmanuel JeannotPhilippe PreuxPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- dynamic environments
- neural network
- database
- learning algorithm
- dynamic scheduling
- multi agent
- scheduling problem
- function approximation
- markov decision processes
- policy search
- round robin
- reinforcement learning algorithms
- transfer learning
- resource allocation
- random walk
- dynamic programming
- learning process
- objective function
- machine learning