Alternatives and similar repositories for or-rl-benchmarks

Users that are interested in or-rl-benchmarks are comparing it to the libraries listed below

• google-research / tf-opt
  ☆41Updated this week
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆27Updated last year
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆135Updated 2 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆195Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• google-deepmind / neural_lns
  ☆48Updated 3 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆65Updated 4 years ago
• lascavana / rl2branch
  ☆18Updated 9 months ago
• ahottung / NLNS
  Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
  ☆95Updated 4 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆85Updated 3 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆112Updated 2 years ago
• OptMLGroup / DeepBeerInventory-RL
  The code for the SRDQN algorithm to train an agent for the beer game problem
  ☆80Updated 2 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• wouterkool / dpdp
  DPDP
  ☆101Updated 2 years ago
• apourchot / CEM-RL
  Combining Evolutionary Algorithms and deep RL in various ways
  ☆102Updated 4 years ago
• hubbs5 / or-gym
  Environments for OR and RL Research
  ☆410Updated last year
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆231Updated 3 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆33Updated 4 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆77Updated 6 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆17Updated 6 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆78Updated last year
• hsvgbkhgbv / SQDDPG
  This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …
  ☆119Updated 8 months ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆55Updated 5 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆53Updated 4 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
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆96Updated 2 years ago
• paulorocosta / ai-for-tsp-competition
  This is the official repository of the AI for TSP competition at IJCAI 2021
  ☆24Updated 2 years ago
• Spider-scnu / TSP
  ☆131Updated 2 years ago