Alternatives and similar repositories for GNN_planner

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

• mila-iqia / Conscious-Planning
  Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".
  ☆58Updated 11 months ago
• uber-research / MARVIN
  Uber's Multi-Agent Routing Value Iteration Network
  ☆64Updated 4 years ago
• jaromiru / sr-drl
  Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks
  ☆25Updated 2 years ago
• atavakol / action-hypergraph-networks
  (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices
  ☆23Updated 4 years ago
• proroklab / graph-conv-memory
  Graph convolutional memory
  ☆16Updated 3 years ago
• Alekat13 / Deep-Reinforcement-Ant-Colony-Optimization-
  Swarm learning algorithm
  ☆11Updated 4 years ago
• HannesStark / gnn-reinforcement-learning
  Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
  ☆33Updated 4 years ago
• keep9oing / GNN_RL
  reinforcement learning with pytorch geometric library
  ☆49Updated 3 years ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆27Updated 4 years ago
• smorad / graph-conv-memory-paper
  Graph convolutional memory for reinforcement learning
  ☆23Updated 4 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆17Updated 6 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
• mklissa / phi_gcn
  Reward Propagation using Graph Convolutional Networks
  ☆13Updated 4 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).
  ☆34Updated 5 years ago
• Tviskaron / pathfinding-in-stochastic-envs
  Source code for Pathfinding in Stochastic Environments paper.
  ☆14Updated 2 years ago
• dsbrown1331 / bayesianrex
  ☆20Updated 4 years ago
• dnishio / DSAC
  The implementation of Discriminator Soft Actor Critic
  ☆15Updated 5 years ago
• katetolstaya / multiagent_gnn_policies
  Learning multi-agent policies for flocking using graph neural networks
  ☆79Updated 2 years ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆42Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆40Updated 3 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated last month
• homangab / gradcem
  Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
  ☆68Updated 5 years ago
• ravi-lanka-4 / CoPiEr
  Co-training for Policy Learning
  ☆13Updated 6 years ago
• uoe-agents / GPL
  Codebase for the Graph-based Policy Learning algorithm, which is designed for learning policies to solve the open ad hoc teamwork problem…
  ☆35Updated 4 years ago
• phejohnwang / MRCScheduling
  Sccheduling Environment for Multi-Robot Coordination Problems
  ☆18Updated 3 years ago
• clvrai / new-actions-rl
  ☆24Updated last year
• marmotlab / DAN
  Public version of the decentralized, attention-based mTSP code
  ☆36Updated 3 years ago
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆45Updated 2 years ago
• omron-sinicx / planning-datasets
  Dataset generation scripts for “Path Planning using Neural A* Search” presented in ICML-21
  ☆23Updated 2 years ago
• ketatam / Exploring-Munchausen-Reinforcement-Learning
  PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces
  ☆15Updated 3 years ago