Alternatives and similar repositories for TSP-solver-using-reinforcement-learning

Users that are interested in TSP-solver-using-reinforcement-learning are comparing it to the libraries listed below

• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• qiang-ma / graph-pointer-network
  ☆164Updated 5 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆51Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 6 years ago
• yd-kwon / MatNet
  codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
  ☆72Updated 3 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…
  ☆101Updated 3 years ago
• Rintarooo / TSP_DRL_PtrNet
  "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
  ☆187Updated 4 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆81Updated 5 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆201Updated 5 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆65Updated 5 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
• shiluyuan / Reinforcement-Learning-in-Path-Finding
  Reinforce Learing, Q-Rounting, Shortest-Path
  ☆102Updated 8 years ago
• Junyoungpark / pyjssp
  ☆21Updated 6 years ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆58Updated 3 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆77Updated 6 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆118Updated 2 years ago
• TheoLvs / reinforcement-learning
  Personal experiments on Reinforcement Learning
  ☆118Updated 4 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆58Updated 5 years ago
• naver / bq-nco
  ☆41Updated 2 years ago
• haiguanl / RLCO-Papers
  Paper collection of reinforcement learning based combinatorial optimization
  ☆55Updated 4 years ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆116Updated last year
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆43Updated 3 years ago
• rlopt / l2i
  ☆109Updated 5 years ago
• liangxinedu / MDAM
  ☆54Updated 4 years ago
• OptMLGroup / DeepBeerInventory-RL
  The code for the SRDQN algorithm to train an agent for the beer game problem
  ☆84Updated 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
• xbresson / TSP_Transformer
  Code for TSP Transformer
  ☆193Updated 4 years ago
• kaist-silab / equity-transformer
  ☆27Updated 2 years ago
• facebookresearch / neural-rewriter
  Learning to Perform Local Rewriting for Combinatorial Optimization
  ☆152Updated 5 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆238Updated 4 years ago