Case-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system.
Chengzhi JiangZhaohan ShengPublished in: Expert Syst. Appl. (2009)
Keyphrases
- inventory control
- supply chain
- reinforcement learning
- multi agent
- supply chain management
- pricing strategies
- lead time
- customer demand
- stochastic demand
- inventory models
- reverse logistics
- inventory management
- customer service
- finite horizon
- multi agent systems
- service level
- state space
- markov decision process
- planning horizon
- lost sales
- dynamic pricing
- markov decision processes
- optimal policy
- dynamic programming