Alternatives and similar repositories for RLCO-Papers

Users that are interested in RLCO-Papers are comparing it to the libraries listed below

• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆195Updated 4 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆111Updated 2 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
• zhangzizhen / ML-DAM
  ☆25Updated 3 years ago
• liangxinedu / MDAM
  ☆53Updated 3 years ago
• qiang-ma / graph-pointer-network
  ☆162Updated 5 years ago
• Spider-scnu / TSP
  ☆131Updated 2 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆100Updated 2 years ago
• xijunlee / Learning-to-Optimize-Arxiv
  The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading not…
  ☆164Updated 4 years ago
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆60Updated 2 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…
  ☆96Updated 2 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆23Updated last year
• yd-kwon / MatNet
  codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
  ☆69Updated 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…
  ☆60Updated 2 years ago
• Rintarooo / TSP_DRL_PtrNet
  "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
  ☆180Updated 3 years ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• DanieleGammelli / gnn-rl-for-amod
  Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
  ☆78Updated 4 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 years ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆56Updated 2 years ago
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆61Updated 3 years ago
• pengguo318 / RoutingProblemGANN
  ☆49Updated 2 years ago
• Learning4Optimization-HUST / H-TSP
  Official implementation of H-TSP (AAAI2023)
  ☆52Updated 3 months ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆41Updated 3 years ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆164Updated 9 months ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆113Updated last year
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• Lei-Kun / DRL-and-graph-neural-network-for-routing-problems
  This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'
  ☆241Updated last year