Alternatives and similar repositories for ORSuite:

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

• antoinedesir / RUMnet
  ☆9Updated last year
• JorenGijsbrechts / DRL_A3C_inventory
  ☆19Updated 3 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 9 months ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆19Updated 3 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 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…
  ☆31Updated 2 years ago
• andvise / inventory-control
  Implementation of inventory control policy parameters computation algorithms
  ☆18Updated 3 years ago
• google-deepmind / neural_lns
  ☆44Updated 3 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆40Updated 2 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆23Updated last year
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years ago
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• lascavana / rl2branch
  ☆17Updated 5 months ago
• Kanishkparganiha / deep-reinforcement-learning-on-multi-echelon-inventory-management
  ☆9Updated 3 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆98Updated last year
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆52Updated 2 years ago
• lyeskhalil / mipGNN
  ☆25Updated 3 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 3 years ago
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆74Updated 7 months ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆29Updated 6 years ago
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆37Updated 5 years ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated last year
• TomMonks / gurobi-cvrp
  Solution to the Capacitated Vehicle Routing Problem using Gurobi's optimisation procedures.
  ☆11Updated 4 years ago
• frenkowski / SCIMAI-Gym
  A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
  ☆88Updated last year
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆36Updated 7 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
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated 2 years ago
• PredOpt / predopt-benchmarks
  This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …
  ☆35Updated 3 weeks ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆65Updated last month