matenure / GNN_plannerLinks
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)
☆35Updated 2 years ago
Alternatives and similar repositories for GNN_planner
Users that are interested in GNN_planner are comparing it to the libraries listed below
Sorting:
- Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks☆25Updated last year
- (ICLR 2021) Learning to Represent Action Values as a Hypergraph on the Action Vertices☆23Updated 4 years ago
- Graph convolutional memory for reinforcement learning☆23Updated 3 years ago
- ☆17Updated 6 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 9 months ago
- Uber's Multi-Agent Routing Value Iteration Network☆65Updated 4 years ago
- Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.☆33Updated 4 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆27Updated 3 years ago
- Reward Propagation using Graph Convolutional Networks☆13Updated 4 years ago
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆33Updated 5 years ago
- Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)☆21Updated 4 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆14Updated 3 years ago
- reinforcement learning with pytorch geometric library☆49Updated 3 years ago
- Co-training for Policy Learning☆13Updated 5 years ago
- Swarm learning algorithm☆11Updated 4 years ago
- Imitation learning using MAML in the metaworld dataset☆9Updated 4 years ago
- Code for☆15Updated 4 years ago
- Planning using Reinforcement Learning☆8Updated 6 years ago
- Multi-agent active perception with prediction rewards☆11Updated 4 years ago
- Literature and code for inverse reinforcement leanring research☆30Updated 5 years ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Updated 5 years ago
- Scalable MCTS for team scenarios☆16Updated last year
- ☆9Updated 5 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- Source code for Pathfinding in Stochastic Environments paper.☆14Updated 2 years ago
- PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces☆16Updated 3 years ago
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- Graph convolutional memory☆16Updated 3 years ago