Alternatives and similar repositories for CORL

Users that are interested in CORL are comparing it to the libraries listed below

• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 5 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆101Updated 2 years ago
• nikhil3456 / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
  PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…
  ☆71Updated 5 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆50Updated 3 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆28Updated 4 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆42Updated 3 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• DIMESTeam / DIMES
  ☆43Updated 4 months ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• tbasaklar / PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm
  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…
  ☆34Updated last year
• qiang-ma / graph-pointer-network
  ☆163Updated 5 years ago
• wondergo2017 / TSP-HAC
  Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
  ☆22Updated 3 years ago
• DanieleGammelli / gnn-rl-for-amod
  Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
  ☆79Updated 4 years ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 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
• RingBDStack / SR-MARL
  ☆12Updated 2 years ago
• Spider-scnu / TSP
  ☆131Updated 2 years ago
• louisv123 / COLGE
  ☆37Updated 6 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• WXY1427 / Learn-LNS-policy
  ☆34Updated 3 years ago
• yd-kwon / MatNet
  codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
  ☆71Updated 3 years ago
• rlopt / l2i
  ☆108Updated 5 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆25Updated last year
• naver / bq-nco
  ☆41Updated last year
• kaist-silab / equity-transformer
  ☆27Updated last year
• 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
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆52Updated 3 months ago
• hossam-mossalam / multi-objective-deep-rl
  Multi-Objective Deep Reinforcement Learning
  ☆45Updated 8 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆64Updated 4 years ago