Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes.
Yoni BirmanZiv IdoGilad KatzAsaf ShabtaiPublished in: IJCNN (2021)
Keyphrases
- multi objective
- reinforcement learning
- multiple objectives
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- priority scheduling
- scheduling problem
- pareto optimal
- hierarchical reinforcement learning
- particle swarm optimization
- objective function
- function approximation
- state space
- conflicting objectives
- multi objective optimization problems
- genetic algorithm
- nsga ii
- scheduling algorithm
- resource allocation
- hierarchical structure
- markov decision processes
- resource constraints
- action selection
- queueing theory
- multiobjective optimization
- optimal policy
- waiting times
- multiagent evolutionary algorithm
- neural network
- learning algorithm
- special case
- flow control
- real time database systems
- temporal difference
- parallel machines
- optimal control