Alternatives and similar repositories for medium-tsp:

Users that are interested in medium-tsp are comparing it to the libraries listed below

• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆80Updated 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
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆52Updated 5 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆76Updated 5 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• xbresson / TSP_Transformer
  Code for TSP Transformer
  ☆172Updated 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
• wouterkool / dpdp
  DPDP
  ☆99Updated 2 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆128Updated 2 years ago
• machine-reasoning-ufrgs / TSP-GNN
  Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…
  ☆117Updated 5 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆183Updated 4 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆20Updated 2 years ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆95Updated 7 months ago
• chaitjo / graph-convnet-tsp
  Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…
  ☆312Updated 2 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆215Updated 3 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆61Updated 4 years ago
• ahottung / NLNS
  Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
  ☆84Updated 4 years ago
• jokofa / NeuroLS
  Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
  ☆16Updated 4 months ago
• qiang-ma / graph-pointer-network
  ☆156Updated 5 years ago
• Rintarooo / TSP_DRL_PtrNet
  "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
  ☆168Updated 3 years ago
• ahottung / EAS
  Efficient Active Search
  ☆48Updated 2 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆92Updated last year
• lyeskhalil / mipGNN
  ☆23Updated 3 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆46Updated 4 years ago
• yining043 / TSP-improve
  An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…
  ☆90Updated 2 years ago
• google-research / tf-opt
  ☆39Updated 2 months ago
• d-eremeev / ADM-VRP
  Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)
  ☆119Updated last year
• Junyoungpark / pyjssp
  ☆20Updated 5 years ago
• yd-kwon / POMO
  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
  ☆170Updated 2 years ago