ZijieHuang

ZijieHuang's Stars

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k77166845

• stellargraph/stellargraph

  StellarGraph - Machine Learning on Graphs

  Language:Python3k621k431

• Jhy1993/HAN

  Heterogeneous Graph Neural Network

  Language:Python1.1k1259221

• jwwthu/GNN-Communication-Networks

  This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

  42919172

• RunzheYang/MORL

  Multi-Objective Reinforcement Learning

  Language:Python25681850

• cerob/slicesim

  5G Network Slicing Simulation

  Language:Python1467779

• yshenaw/GNN4Com

  Language:Jupyter Notebook1024031

• GeminiLight/virne

  Virne is a simulator for resource allocation problems in network virtualization, mainly for virtual network embedding (VNE). It also is adaptable to VNE's variants, such as service function chain deployment (SFC Deployment), network slicing, etc.

  Language:Python10143120

• karlapalem/UC-Berkeley-AI-Pacman-Project

  Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts

  Language:Python943154

• axelabels/DynMORL

  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning

  Language:Python893121

• transys-project/metis

  Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)

  Language:JavaScript875323

• BNN-UPC/NetworkModelingDatasets

  This repository contains datasets for network modeling simulated with OMNet++

  8251117

• CN-UPB/NFVdeep

  NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains

  Language:Python5861015

• fladdimir/casymda

  Discrete-Event-Simulation based on BPMN and SimPy

  Language:Python47318

• yule-BUAA/R-HGNN

  codes of R-HGNN model for Heterogeneous Graph Representation Learning

  Language:Python47335

• MichaelAllen1966/qambo

  Experiments in Deep Q Learning controlling ambulance placement

  Language:Jupyter Notebook242013

• AlexPasqua/DeepNetSlice

  Reinforcement Learning tool for Network Slice Placement problems

  Language:Python21301

• Ms-Wang01/Virtual-Network-Embedding

  Virtual Network Embedding Environment for Reinforcement Learning written in python

  181

• zamaniali1995/RL-4-SFC-mapping

  simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper

  Language:TeX17212

• co-cddo/algorithmic-transparency-recording-standard

  12535

• jupadhya1/REINFORCEMENT-LEARNING

  Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in Artificial Intelligence—from games, self-driving cars and robots to enterprise applications that range from datacenter energy saving (cooling data centers) to smart warehousing solutions. The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning, its advantages and why it’s gaining so much popularity. The book also discusses on MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP.

  Language:Jupyter Notebook116

• kristery/EthicsShaping

  [AAAI 2018] Implementation of the Ethics Shaping approach proposed in "A low-cost ethics shaping approach for designing reinforcement learning agents"

  Language:Python10202

• lrhammond/lmorl

  Lexicographic Multi-Objective Reinforcement Learning

  Language:Python10122

• mlpeschl/moral_rl

  Language:Python9123

• mfarreras/gain-gnn

  Language:Python5102

• ZGCTroy/Pointer_Network

  code for "Modeling on virtual network embedding using reinforcement learning"

  Language:Python5111

• lexeree/normative-player-characters

  Language:Python4

• mneedham/london-buses

  Playing around the London Buses API

  Language:Ruby3303

• avnavarretes/bias_mitigation

  Language:Jupyter Notebook1

• buurenzo/ipyleafletdemo

  Language:Jupyter Notebook1