Alternatives and similar repositories for Deep-Reinforcement-Ant-Colony-Optimization-

Users that are interested in Deep-Reinforcement-Ant-Colony-Optimization- are comparing it to the libraries listed below

• YujiaoHu / MinMax-MTSP
  A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs
  ☆35Updated 4 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆14Updated 3 years ago
• mw9385 / Hierarchical_Coverage_Path_Planning
  ☆10Updated 3 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆40Updated 2 years ago
• marmotlab / DAN
  Public version of the decentralized, attention-based mTSP code
  ☆36Updated 3 years ago
• zcaicaros / DRL-MTSP
  Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"
  ☆62Updated 3 years ago
• tumBAIS / HybridMADRL-AMoD
  ☆11Updated last year
• jiang-yuan / Learning-routing-DRO
  ☆21Updated 3 years ago
• heemangpark / LNS-PBS
  python implementation of "Multi-Goal Multi-Agent Pickup and Delivery"
  ☆10Updated 2 years ago
• jingwenli0312 / Heterogeneous-Attentions-PDP-DRL
  ☆55Updated 2 years ago
• gkobeaga / op-solver
  Algorithms for the Orienteering Problem
  ☆38Updated last month
• wuzhy66 / ML-DAM
  Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
  ☆36Updated 11 months ago
• robinhenry / gym-anm-exp
  Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.
  ☆11Updated 2 years ago
• temur-kh / pdp-drl-project
  Deep reinforcement approach to solving dynamic pickup and delivery problem
  ☆18Updated 3 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆27Updated 5 years ago
• Tviskaron / pathfinding-in-stochastic-envs
  Source code for Pathfinding in Stochastic Environments paper.
  ☆14Updated 2 years ago
• inmo-jang / GRAPE
  The source code for the paper "Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent System" in T-RO (10.1109/TRO.20…
  ☆20Updated last year
• inboxedshoe / RP-DQN
  ☆9Updated 3 years ago
• TARTRL / RankingCost
  The Ranking Cost algorithm for multi-path routing of gridworld.(多智能体路径规划，电路规划)
  ☆20Updated 3 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆39Updated 3 years ago
• CORE-Robotics-Lab / HetNet
  Public implementation of Heterogeneous Policy Networks (HetNet) from AAMAS'22 -- Paper Title: Learning Efficient Diverse Communication fo…
  ☆18Updated last year
• yining043 / PDP-N2S
  This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…
  ☆58Updated 2 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆53Updated 4 years ago
• ctu-mrs / mtsp_planning_task
  A path-planning task for the summer school based on the Multiple Traveling Salesman Problem (MTSP)
  ☆18Updated 2 years ago
• ai4co / eph-mapf
  [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
  ☆43Updated 7 months ago
• zehuilu / Real-time-Multi-Robot-Mission-Planning-in-Cluttered-Environment
  This is GitHub repo for Real-time Multi-Robot Mission Planning in Cluttered Environment.
  ☆22Updated last year
• Spider-scnu / Monte-Carlo-tree-search-for-TSP
  This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).
  ☆33Updated 5 years ago