RGD, a new variant of the stochastic gradient descent algorithm, re-weights data points during each optimization step based on their difficulty. Learn how this reweighting algorithm can boost performance on unseen data across various learning tasks → https://t.co/9gN1cUpCZC
"On Dual-Based PI Controllers for Online Allocation Problems"
I love the connection between classic PI control and (online) optimization.
#ORMS
https://t.co/5Hrd1HTnWt
Deep Inventory Management
"This work provides a Deep Reinforcement Learning approach to solving a periodic review inventory control system with stochastic vendor lead times, lost sales, correlated demand, and price matching."
https://t.co/jHNeYMyg2C
#ReinforcementLearning
"A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization"
paper: https://t.co/POC3R3RKPj
code: https://t.co/Al50HqiaOe
#MachineLearning#ORMS