Automated Personnel Scheduling with Reinforcement Learning and Graph Neural Networks.
Benjamin PlattenMatthew MacfarlaneDavid GrausSepideh MesbahPublished in: HR@RecSys (2022)
Keyphrases
- neural network
- reinforcement learning
- function approximators
- scheduling problem
- pattern recognition
- directed graph
- fuzzy logic
- information systems
- data processing
- bipartite graph
- function approximation
- state space
- scheduling algorithm
- multi layer
- graph theory
- fuzzy systems
- graph structure
- fault diagnosis
- structured data
- random walk
- graph representation
- graph theoretic
- reinforcement learning algorithms
- learning capabilities
- artificial neural networks
- multi agent
- directed acyclic graph
- parallel machines
- optimal control
- round robin
- machine learning
- neural nets
- neural network model
- genetic algorithm
- optimal policy
- back propagation
- dynamic programming
- series parallel
- real time database systems
- learning process
- np hard
- supervised learning
- graphical models
- graph model
- graph mining
- training process
- resource allocation
- recurrent neural networks