A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning
algorithm to Solve Inventory Optimization Problems

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A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems

20 August 2017

Afshin Oroojlooyjadid

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Papers citing "A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems"

14 / 14 papers shown

Title
Business Metric-Aware Forecasting for Inventory Management Helen Zhou Sercan O. Arik Jingtao Wang AI4TS 89 5 0 24 Aug 2023
Adaptive Control of Resource Flow to Optimize Construction Work and Cash Flow via Online Deep Reinforcement LearningAutomation in Construction (AC), 2023 Can Jiang Xin Li Jianpeng Lin Ming-Yuan Liu Zhiliang Ma AI4CE 47 25 0 20 Jul 2023
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Wei Shen Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 136 18 0 15 Dec 2022
Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation E. Kosasih Alexandra Brintrup 47 19 0 02 Jul 2021
Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit Shaun C. D'Souza OffRL 39 2 0 27 Apr 2021
OR-Gym: A Reinforcement Learning Library for Operations Research Problems Christian D. Hubbs Hector D. Perez Owais Sarwar N. Sahinidis I. Grossmann J. Wassick OffRL AI4CE 157 84 0 14 Aug 2020
Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning Bram Cals Yingqian Zhang R. Dijkman Claudy van Dorst OffRL 87 33 0 16 Jun 2020
Simultaneous Decision Making for Stochastic Multi-echelon Inventory Optimization with Deep Neural Networks as Decision Makers Mohammad Pirhooshyaran L. Snyder 56 12 0 10 Jun 2020
Using Multi-Agent Reinforcement Learning in Auction Simulations Medet Kanmaz Elif Surer 13 3 0 06 Apr 2020
Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications Manuel Schneckenreither OffRL 84 6 0 02 Apr 2020
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems Bharathan Balaji Jordan Bell-Masterson Enes Bilgin Andreas C. Damianou Pablo Moreno Garcia Arpit Jain Runfei Luo Alvaro Maggiar Balakrishnan Narayanaswamy Chun Jimmie Ye OffRL 148 37 0 24 Nov 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 377 497 0 11 Aug 2019
Don't Forget Your Teacher: A Corrective Reinforcement Learning Framework M. Nazari Majid Jahani L. Snyder Martin Takáč OffRL OnRL 49 1 0 30 May 2019
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System Yujie Chen Yu Qian Yichen Yao Zili Wu Rongqi Li Yinzhi Zhou Haoyuan Hu Yinghui Xu 81 26 0 07 Mar 2019

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