Alternatives and similar repositories for mcts-travel-salesman

Users that are interested in mcts-travel-salesman are comparing it to the libraries listed below

• 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).
  ☆33Updated 5 years ago
• snail-ju / GNN-MCTS-TSP
  A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem
  ☆21Updated 4 years ago
• Junyoungpark / pyjssp
  ☆21Updated 5 years ago
• flixpar / AlphaTSP
  AlphaGo inspired TSP Heuristic Solver
  ☆15Updated 5 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 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
• marmotlab / DAN
  Public version of the decentralized, attention-based mTSP code
  ☆36Updated 3 years ago
• rlopt / l2i
  ☆108Updated 5 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆53Updated 4 years ago
• Spider-scnu / TSP
  ☆132Updated 2 years ago
• Alekat13 / Deep-Reinforcement-Ant-Colony-Optimization-
  Swarm learning algorithm
  ☆11Updated 4 years ago
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆55Updated 5 years ago
• Alexander-Nasuta / graph-jsp-env
  A Gymnasium Environment for the Job Shop Problem Using the Disjunctive Graph Approach.
  ☆23Updated last month
• ahottung / EAS
  Efficient Active Search
  ☆50Updated 3 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆40Updated 2 years ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆55Updated 2 years ago
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆28Updated 2 years ago
• liangxinedu / stepwise
  ☆21Updated 3 years ago
• Jiaoyang-Li / Flatland
  Solution of NeurIPS 2020 Flatland Challenge from the team An_old_driver.
  ☆60Updated 3 years ago
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 5 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆48Updated 3 years ago
• Jamesellis51015 / Multi-Agent-Path-Finding-with-Reinforcement-Learning
  Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.
  ☆37Updated 4 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆39Updated 3 years ago
• water-mirror / DPR
  Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying dee…
  ☆18Updated 4 years ago
• liangxinedu / MDAM
  ☆53Updated 3 years ago
• gkobeaga / op-solver
  Algorithms for the Orienteering Problem
  ☆38Updated last month
• yining043 / TSP-improve
  An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…
  ☆94Updated 2 years ago
• Rintarooo / TSP_DRL_PtrNet
  "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
  ☆177Updated 3 years ago
• YujiaoHu / MinMax-MTSP
  A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs
  ☆35Updated 4 years ago