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20 search results found

Virtualhome ⭐ 311

API to run VirtualHome, a Multi-Agent Household Simulator

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Knowledge_graph_reasoning_papers ⭐ 216

Must-read papers on knowledge graph reasoning

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Minerva ⭐ 165

Meandering In Networks of Entities to Reach Verisimilar Answers

Seapearl.jl ⭐ 155

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Care Gnn ⭐ 127

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Kgpolicy ⭐ 75

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

MAGNet: Multi-agents control using Graph Neural Networks

Deepvariationstructuredrl ⭐ 53

A PyTorch implementation of the "Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection" paper by Liang et. al.

Qualia2.0 ⭐ 41

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Gegelati ⭐ 35

Generic Evolvable Graphs for Efficient Learning of Artificial Tangled Intelligence. (A C++ framework for Tangled Program Graphs)

Map Matching 2 ⭐ 26

High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).

Goal driven language generation using knowledge graph A2C agents

Rl Obstacle Avoidance ⭐ 19

LIDAR based Obstacle Avoidance with Reinforcement Learning

Reinforcement learning on dynamic knowledge graphs

Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".

Source codes and datasets for EMNLP 2020 paper "Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph"

Deeppathwithtensorforce ⭐ 8

DeepPath - A Deep Reinforcement Learning Method for Knowledge Graph Reasoning using TensorForce

Factor Graph Compute ⭐ 7

Factor Graph Framework for Distributed Machine and Reinforcement Learning

Nns Meets Deep Rl ⭐ 7

Code for paper: Towards Similarity Graphs Constructed by Deep Reinforcement Learning

Template for projects in PyTorch powered with PyTorch Lightning, Telegrad and MLflow. Get updates on mobile and streamline PyTorch code for research.

Combopt Zero ⭐ 6

A reinforcement learning based state-of-the-art solver for combinatorial problems

[ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"

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