matenure / GNN_planner
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)
☆32Updated last year
Related projects: ⓘ
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆24Updated last year
- Graph convolutional memory for reinforcement learning☆20Updated 3 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆26Updated 3 years ago
- reinforcement learning with pytorch geometric library☆45Updated 2 years ago
- ☆23Updated 2 years ago
- ☆13Updated last year
- Graph-based Reinforcement Learning☆16Updated 6 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆58Updated 11 months ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆25Updated 3 years ago
- Attention based model for learning to solve different routing problems☆36Updated 2 years ago
- clone/download codes from https://anonymous.4open.science/☆31Updated 2 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆16Updated 2 years ago
- Extending the Neural Graph Algorithm Executor☆13Updated last year
- Literature and code for inverse reinforcement leanring research☆24Updated 4 years ago
- ☆20Updated 5 months ago
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆34Updated last year
- Planning using Reinforcement Learning☆7Updated 5 years ago
- Train agents on MiniGrid from human demonstrations using Inverse Reinforcement Learning☆14Updated 4 years ago
- Uber's Multi-Agent Routing Value Iteration Network☆57Updated 3 years ago
- Graph convolutional memory☆15Updated 2 years ago
- Reward Propagation using Graph Convolutional Networks☆13Updated 3 years ago
- Swarm learning algorithm☆11Updated 3 years ago
- This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation,…☆14Updated 4 years ago
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆28Updated 4 years ago
- Hierarchical deep reinforcement learning for combinatorial optimization problem☆33Updated 4 years ago
- Learning multi-agent policies for flocking using graph neural networks☆66Updated last year
- PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021☆14Updated 3 years ago
- A survey on machine learning for combinatorial optimization.☆12Updated 2 years ago
- ☆16Updated 3 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆32Updated 3 years ago