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
• flixpar / AlphaTSP
  AlphaGo inspired TSP Heuristic Solver
  ☆15Updated 5 years ago
• Alekat13 / Deep-Reinforcement-Ant-Colony-Optimization-
  Swarm learning algorithm
  ☆11Updated 3 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
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• Junyoungpark / pyjssp
  ☆21Updated 5 years ago
• Tviskaron / pathfinding-in-stochastic-envs
  Source code for Pathfinding in Stochastic Environments paper.
  ☆14Updated 2 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 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
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆54Updated 2 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆40Updated 2 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• liangxinedu / stepwise
  ☆21Updated 3 years ago
• marmotlab / DAN
  Public version of the decentralized, attention-based mTSP code
  ☆36Updated 3 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆52Updated 4 years ago
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 5 years ago
• YujiaoHu / MinMax-MTSP
  A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs
  ☆35Updated 4 years ago
• temur-kh / pdp-drl-project
  Deep reinforcement approach to solving dynamic pickup and delivery problem
  ☆18Updated 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
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆54Updated 5 years ago
• jiang-yuan / Learning-routing-DRO
  ☆21Updated 3 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆38Updated 3 years ago
• yining043 / PDP-N2S
  This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…
  ☆57Updated 2 years ago
• rlopt / l2i
  ☆107Updated 4 years ago
• smorad / graph-conv-memory-paper
  Graph convolutional memory for reinforcement learning
  ☆23Updated 3 years ago
• heemangpark / LNS-PBS
  python implementation of "Multi-Goal Multi-Agent Pickup and Delivery"
  ☆10Updated 2 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.
  ☆36Updated 4 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆16Updated 6 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆65Updated 4 years ago
• shariqiqbal2810 / Multi-Explore
  Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"
  ☆35Updated 3 years ago