Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.
Julien SiemsMaximilian SchambachSebastian SchulzeJohannes S. OtterbachPublished in: CoRR (2023)
Keyphrases
- inventory management
- additive models
- reinforcement learning
- supply chain
- vehicle routing
- neural network
- high dimensional
- linear classifiers
- state space
- supply chain management
- optimal policy
- linear models
- machine learning
- reproducing kernel hilbert space
- markov decision processes
- transfer learning
- robust optimization
- lost sales
- real valued
- optimal control
- random variables
- linear svm
- distance metric
- supervised learning
- dynamic programming
- lower bound
- computational complexity