Service level optimizing and shared bike rebalancing based on multi-agent deep reinforcement learning.
Jiahui FengYingbo LiHefu LiuPublished in: PACIS (2024)
Keyphrases
- service level
- reinforcement learning
- multi agent
- lead time
- supply chain
- function approximation
- call center
- state space
- reinforcement learning algorithms
- multi agent environments
- total cost
- cooperative
- multi agent systems
- exploration exploitation tradeoff
- logistics service
- reinforcement learning agents
- search tree
- service systems
- learning algorithm
- markov decision processes
- learning agents
- binary search trees
- service requirements
- spare parts
- single agent
- inventory models
- optimal policy
- dynamic programming
- machine learning
- steady state
- planning horizon
- service level agreements