Alternatives and similar repositories for GNN_planner:

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

• lyeskhalil / CORL
  ☆24Updated 2 years ago
• jaromiru / sr-drl
  Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks
  ☆25Updated last year
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 5 years ago
• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆38Updated last year
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆38Updated 2 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• Alekat13 / Deep-Reinforcement-Ant-Colony-Optimization-
  Swarm learning algorithm
  ☆11Updated 3 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆25Updated 3 years ago
• HannesStark / gnn-reinforcement-learning
  Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
  ☆32Updated 3 years ago
• gbarcik / graphnets
  Extending the Neural Graph Algorithm Executor
  ☆13Updated 2 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆48Updated 3 years ago
• dair-iitd / torpido
  Planning using Reinforcement Learning
  ☆8Updated 6 years ago
• omargup / neural_combinatorial_optimization
  A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
  ☆14Updated 4 years ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆64Updated 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
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• smorad / graph-conv-memory-paper
  Graph convolutional memory for reinforcement learning
  ☆23Updated 3 years ago
• eyounx / PRR
  Meta-Reinforcement Learning with Policy Residual Representation
  ☆11Updated 5 years ago
• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆59Updated 6 months ago
• wz26 / OpenGraphGym
  ☆9Updated 3 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆14Updated 3 years ago
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆22Updated 3 years ago
• 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).
  ☆32Updated 5 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆21Updated 3 years ago
• schroederdewitt / mackrl
  Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)
  ☆33Updated 5 years ago
• jscriptcoder / Upside-Down-Reinforcement-Learning
  Landing a Spaceship using Upside-Down Reinforcement Learning (a.k.a ⅂ꓤ)
  ☆11Updated last year
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆32Updated 7 years ago
• resibots / kaushik_2018_multi-dex
  Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)
  ☆13Updated 6 years ago
• ShoufaChen / clone-anonymous4open
  clone/download codes from https://anonymous.4open.science/
  ☆33Updated 3 years ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago