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
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆65Updated 4 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• Alekat13 / Deep-Reinforcement-Ant-Colony-Optimization-
  Swarm learning algorithm
  ☆11Updated 4 years ago
• Tviskaron / pathfinding-in-stochastic-envs
  Source code for Pathfinding in Stochastic Environments paper.
  ☆14Updated 2 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆50Updated 3 years ago
• matenure / GNN_planner
  Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)
  ☆35Updated 2 years ago
• marmotlab / DAN
  Public version of the decentralized, attention-based mTSP code
  ☆36Updated 3 years ago
• USC-ACTLab / MAPFAST
  ☆20Updated 3 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• snail-ju / GNN-MCTS-TSP
  A Graph Neural Network Assisted Monte Carlo Tree Search Approach to Traveling Salesman Problem
  ☆21Updated 5 years ago
• ita9naiwa / TSP-solver-using-reinforcement-learning
  Solving Traveling Salesman Problem with reinforcement learning...
  ☆57Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆17Updated 6 years ago
• katetolstaya / multiagent_gnn_policies
  Learning multi-agent policies for flocking using graph neural networks
  ☆77Updated 2 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆41Updated 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
• sisl / MultiAgentAllocationTransit.jl
  Efficient Large-Scale Multi-Drone Delivery Using Transit Networks
  ☆83Updated 2 years ago
• aravindsrinivas / neural-mpc
  ☆73Updated 5 years ago
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 5 years ago
• HannesStark / gnn-reinforcement-learning
  Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
  ☆33Updated 4 years ago
• Junyoungpark / pyjssp
  ☆21Updated 6 years ago
• dongminlee94 / Reinforcement-Learning-Code
  A repository for code of reinforcement learning algorithms with PyTorch
  ☆30Updated 3 years ago
• amokhvarma / GraphAttentionRL
  This repository contains an attempt at using Graph Attention based Reinforcement Learning for graphical state space. The code also provid…
  ☆10Updated 4 years ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆56Updated 2 years ago
• liangxinedu / stepwise
  ☆21Updated 3 years ago
• BY571 / Munchausen-RL
  PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
  ☆45Updated 4 years ago
• karush17 / esac
  Evolution-based Soft Actor-Critic (ESAC)
  ☆42Updated 11 months ago
• rainorangelemon / pytorch_geometric_multiagent
  The official repo for the CoRL 2022 paper 'Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation'
  ☆9Updated 2 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆39Updated 3 years ago
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆28Updated 2 years ago