Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory.
Mitsuaki ObaraTakehiro KashiyamaYoshihide SekimotoPublished in: IEEE BigData (2018)
Keyphrases
- graph theory
- reinforcement learning
- graph theoretical
- graph theoretic
- computer vision and pattern recognition
- social network analysis
- automata theory
- model free
- state space
- function approximation
- document similarity
- multi agent
- markov decision processes
- complex networks
- protein structure prediction
- minimum spanning tree
- graph properties
- graph based representations
- combinatorial optimization
- computer vision
- optimal policy
- maximal cliques
- cost function
- object recognition
- shop floor
- learning algorithm
- genetic algorithm