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Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.
Julien Siems
Maximilian Schambach
Sebastian Schulze
Johannes S. Otterbach
Published in:
CoRR (2023)
Keyphrases
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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