Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching.
Hamed KhorasganiHaiyan WangChetan GuptaPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- lessons learned
- dynamic environments
- function approximation
- real world
- genetic algorithm
- social networks
- machine learning
- technical challenges
- key issues
- control system
- multi agent
- case study
- state space
- search space
- transfer learning
- e learning
- information systems
- application scenarios
- markov decision process