Boyu1997 / mcts-travel-salesman

Related projects ⓘ

Alternatives and complementary repositories for mcts-travel-salesman

• 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).
  ☆29Updated 5 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆58Updated 4 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)
  ☆32Updated 3 years ago
• Alekat13 / Deep-Reinforcement-Ant-Colony-Optimization-
  Swarm learning algorithm
  ☆11Updated 3 years ago
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆25Updated last year
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• liangxinedu / stepwise
  ☆20Updated 3 years ago
• Junyoungpark / pyjssp
  ☆20Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• snail-ju / GNN-MCTS-TSP
  A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem
  ☆19Updated 4 years ago
• smorad / graph-conv-memory-paper
  Graph convolutional memory for reinforcement learning
  ☆20Updated 3 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆35Updated 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.
  ☆29Updated 3 years ago
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆52Updated 5 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆45Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• marmotlab / DAN
  Public version of the decentralized, attention-based mTSP code
  ☆35Updated 3 years ago
• YujiaoHu / MinMax-MTSP
  A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs
  ☆31Updated 4 years ago
• Spider-scnu / TSP
  ☆121Updated 2 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆46Updated 3 years ago
• ZiyuanMa / DHC
  Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021
  ☆58Updated 3 years ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆47Updated 2 years ago
• Kirili4ik / HRL-taxi
  Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)
  ☆19Updated 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
• rlopt / l2i
  ☆104Updated 4 years ago
• CanePunma / Multi_Agent_Deep_Reinforcement_Learning
  Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.
  ☆27Updated 6 years ago
• DosepackAIR / MARL-DPP
  Multi Agent Reinforcement Learning for Dense Path Planning
  ☆27Updated 2 years ago
• rpatrik96 / AttA2C
  Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning
  ☆25Updated 4 years ago
• seolhokim / DistributedRL-Pytorch-Ray
  Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)
  ☆26Updated 2 years ago