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
  ☆87Updated last year
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆43Updated last year
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆82Updated 5 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆139Updated 3 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆58Updated last week
• paulorocosta / ai-for-tsp-competition
  This is the official repository of the AI for TSP competition at IJCAI 2021
  ☆27Updated 3 years ago
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆56Updated 6 years ago
• ai4co / parco
  [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization
  ☆36Updated last month
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 6 years ago
• louisv123 / COLGE
  ☆38Updated 6 years ago
• hsvgbkhgbv / shapley-q-learning
  This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
  ☆51Updated 2 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆86Updated 4 years ago
• kaist-silab / equity-transformer
  ☆28Updated 2 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 5 years ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆28Updated 10 months ago
• yd-kwon / SGBS
  codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"
  ☆42Updated 3 years ago
• ai4co / routefinder
  [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆105Updated last month
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆59Updated 5 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆123Updated 2 years ago
• flatland-association / flatland-rl
  The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is de…
  ☆53Updated this week
• xbresson / TSP_Transformer
  Code for TSP Transformer
  ☆193Updated 4 years ago
• alstn12088 / LCP
  ☆22Updated 3 years ago
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆29Updated 2 years ago
• lyeskhalil / mipGNN
  ☆26Updated 4 years ago
• ai4co / camp
  [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
  ☆30Updated last month
• wouterkool / dpdp
  DPDP
  ☆105Updated 3 years ago
• COeXISTENCE-PROJECT / RouteRL
  RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomo…
  ☆35Updated 2 months ago
• dongjinkun / COPZoo
  Neural Combinatorial Optimization
  ☆86Updated 2 months ago