Alternatives and similar repositories for inventory_management

Users that are interested in inventory_management are comparing it to the libraries listed below

• frenkowski / SCIMAI-Gym
  A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
  ☆90Updated last year
• Kanishkparganiha / deep-reinforcement-learning-on-multi-echelon-inventory-management
  ☆10Updated 3 years ago
• kishorkukreja / SupplyChainv0_gym
  Reinforcement Learning for Optimal inventory policy
  ☆26Updated 3 years ago
• xiaotianliu01 / Multi-Agent-Deep-Reinforcement-Learning-on-Multi-Echelon-Inventory-Management
  Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…
  ☆38Updated 2 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• mamadpierre / DNN-SMEIO
  Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)
  ☆7Updated 4 years ago
• vikashsahu4 / Inventory-Optimization-Algorithms
  Algorithms Library for Supply Chain Inventory Optimization
  ☆16Updated 6 years ago
• Asad1287 / Inventory-Optimization-with-DES-simulation-and-Genetic-Algorithms
  Fast Inventory simulation and optimization
  ☆9Updated 3 months ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆12Updated 3 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆16Updated 11 months ago
• HenrikvK / Reinforcement_Learning_Supply_Chain
  Reinforcement Learning for Supply Chain Optimization
  ☆14Updated 5 years ago
• anshul-musing / single-echelon-inventory-assessment
  inventory simulation modules for single-echelon supply chain
  ☆13Updated 6 years ago
• andvise / inventory-control
  Implementation of inventory control policy parameters computation algorithms
  ☆19Updated 3 years ago
• cornell-orie / ORSuite
  ☆15Updated last year
• stefan-lopez / supply_chain_reinforcement_learning
  A framework for building and training a reinforcement learning agent to run a mini supply chain
  ☆15Updated 2 years ago
• adeecc / SCM-RL
  Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…
  ☆11Updated 3 years ago
• JorenGijsbrechts / DRL_A3C_inventory
  ☆19Updated 3 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆23Updated last year
• oroojlooy / newsvendor
  ☆26Updated 4 years ago
• antoinedesir / RUMnet
  ☆9Updated last year
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• vikas9087 / MachineLearning-OperationsResearch-SupplyChainOptimization
  This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…
  ☆23Updated 4 years ago
• liangxinedu / stepwise
  ☆21Updated 3 years ago
• martijnbeeks / drl-order-batching
  Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem
  ☆14Updated 3 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• willzhang3 / MASTER-electric_vehicle_charging_recommendation
  ☆55Updated 5 months ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• jokofa / NeuroLS
  Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
  ☆16Updated 8 months ago
• heechulbae / simulation
  Discrete Event Simulation using Simpy to run model based and model free deep reinforcement learning dispatch policies in a stochastic que…
  ☆19Updated 6 years ago
• bigaidream-projects / citylearn-2020-pikapika
  CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team
  ☆25Updated 3 years ago