Alternatives and similar repositories for graph-env:

Users that are interested in graph-env are comparing it to the libraries listed below

• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆68Updated last year
• lyeskhalil / mipGNN
  ☆24Updated 3 years ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆34Updated 8 months ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆129Updated 2 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆61Updated last year
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆81Updated 4 years ago
• yunzhuangshen / PB-DFS
  ☆11Updated 3 years ago
• yd-kwon / SGBS
  codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"
  ☆37Updated 2 years ago
• IvanIsCoding / GNN-for-Combinatorial-Optimization
  JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
  ☆49Updated 2 years ago
• lascavana / rl2branch
  ☆17Updated 4 months ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated last year
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆62Updated 2 weeks ago
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated last year
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆93Updated last year
• google-research / tf-opt
  ☆39Updated 3 months ago
• wz26 / OpenGraphGym
  ☆9Updated 3 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆84Updated 3 years ago
• 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
• smorad / graph-conv-memory-paper
  Graph convolutional memory for reinforcement learning
  ☆20Updated 3 years ago
• dongjinkun / COPZoo
  Neural Network for solving challenging Combinatorial Optimization Problems
  ☆48Updated last week
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆47Updated 4 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆49Updated 3 years ago
• Junyoungpark / pyjssp
  ☆20Updated 5 years ago
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆25Updated 2 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• google-deepmind / neural_lns
  ☆42Updated 3 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆48Updated 2 years ago
• Spider-scnu / Monte-Carlo-tree-search-for-TSP
  This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).
  ☆30Updated 5 years ago
• Spider-scnu / TSP
  ☆124Updated 2 years ago
• wouterkool / dpdp
  DPDP
  ☆99Updated 2 years ago