Alternatives and similar repositories for eco-dqn:

Users that are interested in eco-dqn are comparing it to the libraries listed below

• qiang-ma / graph-pointer-network
  ☆156Updated 5 years ago
• louisv123 / COLGE
  ☆36Updated 5 years ago
• Spider-scnu / TSP
  ☆124Updated 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".
  ☆96Updated last year
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆45Updated 2 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆47Updated 3 years ago
• rlopt / l2i
  ☆104Updated 4 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆215Updated 3 years ago
• lyeskhalil / mipGNN
  ☆22Updated 3 years ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆127Updated 2 years ago
• ahottung / EAS
  Efficient Active Search
  ☆48Updated 2 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆46Updated last year
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆34Updated 4 months ago
• yd-kwon / POMO
  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
  ☆166Updated 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…
  ☆159Updated 4 years ago
• Rintarooo / TSP_DRL_PtrNet
  "Neural Combinatorial Optimization with Reinforcement Learning"[Bello+, 2016], Traveling Salesman Problem solver
  ☆168Updated 3 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆91Updated last year
• 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
• yining043 / TSP-improve
  An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…
  ☆89Updated 2 years ago
• liangxinedu / MDAM
  ☆50Updated 3 years ago
• idea-iitd / GCOMB
  ☆35Updated last year
• liangxinedu / NeuroLKH
  ☆71Updated 2 years ago
• hanxiongwei / L2O-Solver-Papers
  ☆11Updated 4 years ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆95Updated 7 months ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆76Updated 5 years ago
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆40Updated last year
• DIMESTeam / DIMES
  ☆40Updated 6 months ago
• machine-reasoning-ufrgs / TSP-GNN
  Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…
  ☆117Updated 5 years ago