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
  ☆35Updated 5 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆38Updated 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".
  ☆99Updated 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…
  ☆28Updated last year
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆48Updated 3 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• DIMESTeam / DIMES
  ☆42Updated 2 months ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆81Updated 4 years ago
• WXY1427 / Learn-LNS-policy
  ☆31Updated 2 years ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• 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
• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆39Updated last year
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆49Updated last year
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆19Updated 5 months ago
• navid-naderi / GraphMIX
  Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning
  ☆31Updated 4 years ago
• naver / bq-nco
  ☆39Updated last year
• ahottung / EAS
  Efficient Active Search
  ☆49Updated 3 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆94Updated last year
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 4 years ago
• alstn12088 / LCP
  ☆21Updated 2 years ago
• gmargo11 / hDQN
  Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)
  ☆35Updated 5 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
• apexrl / autombpo
  Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>
  ☆12Updated 3 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆64Updated 4 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆41Updated 3 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆98Updated 2 years ago
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆71Updated last year
• DanieleGammelli / gnn-rl-for-amod
  Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand
  ☆78Updated 3 years ago
• koulanurag / minimal-marl
  Minimal implementation of multi-agent reinforcement learning algorithms
  ☆54Updated 3 years ago
• renweiya / RFQ-RFAC
  Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
  ☆14Updated 5 years ago