Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes.
Yoni BirmanZiv IdoGilad KatzAsaf ShabtaiPublished in: CoRR (2020)
Keyphrases
- multi objective
- reinforcement learning
- multiple objectives
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- scheduling problem
- particle swarm optimization
- priority scheduling
- objective function
- nsga ii
- genetic algorithm
- markov chain
- function approximation
- bi objective
- state space
- dynamic programming
- resource allocation
- markov decision processes
- scheduling algorithm
- hierarchical reinforcement learning
- conflicting objectives
- queue length
- single server
- multiobjective optimization
- steady state
- multi objective evolutionary
- multi objective optimization problems
- hierarchical structure
- multi agent
- state dependent
- round robin
- flow control
- reinforcement learning algorithms
- temporal difference
- lower bound
- multiple layers
- trade off
- mobile robot
- loss probability
- queueing theory
- learning algorithm