Alternatives and similar repositories for or-rl-benchmarks:

Users that are interested in or-rl-benchmarks are comparing it to the libraries listed below

• google-research / tf-opt
  ☆39Updated 4 months ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆129Updated 2 years ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated last year
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆56Updated 4 years ago
• google-deepmind / neural_lns
  ☆43Updated 3 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆183Updated 4 years ago
• ahottung / NLNS
  Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
  ☆87Updated 4 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆20Updated 2 years ago
• OptMLGroup / DeepBeerInventory-RL
  The code for the SRDQN algorithm to train an agent for the beer game problem
  ☆77Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆49Updated 3 years ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆30Updated 4 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆94Updated last year
• wouterkool / dpdp
  DPDP
  ☆99Updated 2 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆92Updated last year
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 4 years ago
• unit8co / medium-tsp
  Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"
  ☆55Updated 5 years ago
• wz26 / OpenGraphGym
  ☆9Updated 3 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 8 months ago
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆71Updated last year
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆220Updated 3 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆80Updated 3 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 2 years ago
• water-mirror / NeuLNS
  Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…
  ☆90Updated 3 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆76Updated 5 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆62Updated 4 years ago
• naver / bq-nco
  ☆36Updated last year
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago