ZijieHuang

ZijieHuang's Stars

• lrhammond/lmorl

  Lexicographic Multi-Objective Reinforcement Learning

  Language:Python102

• johannes-dornheim/gTLO

  generalized oulti-objective deep reinforcement learning algorithm

  Language:Python51

• skumar9876/Hierarchical-DQN

  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf

  Language:Python8316

• david-abel/ethical_dilemmas

  Code for our implementations of the ethical dilemmas Cake or Death and Burning Room, and their solvers.

  Language:Java6

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.2k951

• uber-research/normative-uncertainty

  Language:Python152

• Farama-Foundation/Minigrid

  Simple and easily configurable grid world environments for reinforcement learning

  Language:Python2.1k612

• zuoxingdong/mazelab

  A customizable framework to create maze and gridworld environments

  Language:Python26059

• mehulgupta2016154/Traffic_Turbo

  Language:Jupyter Notebook32

• dynamik1703/gym_longicontrol

  A new Reinforcement Learning Environment

  Language:Jupyter Notebook3313

• Linging/Traffic-Signal-Control

  Intelligent traffic control on Vissim by dqn

  Language:Python5612

• hsuan613200/DQfD_on_traffic_signal

  An deep Q-learning from demonstration algorithm apply on traffic signal with simulation software Vissim

  Language:Python2

• bmetrafficlab/Vissim-COM-Matlab-and-Python

  A practical manual for Vissim-COM programming in Matlab and Python

  Language:Python41

• ACabrejas/Vissim_RL_Traffic_Lights_Control

  VISSIM Reinforcement Learning for Urban Traffic Control. DQN, DDQN, D3QN, A2C, PER.

  Language:Jupyter Notebook449

• dylan-slack/Modeling-Uncertainty-Local-Explainability

  Local explanations with uncertainty 💐!

  Language:Python3915

• munhouiani/GEE

  Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

  Language:Jupyter Notebook2612

• flow-project/flow

  Computational framework for reinforcement learning in traffic control

  Language:Python1.1k377

• wangshusen/DRL

  Deep Reinforcement Learning

  3.4k592

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.7k6.1k

• justinsvegliato/morality

  A library for building autonomous agents that comply with ethical theories

  Language:JavaScript31

• makinarocks/awesome-industrial-machine-datasets

  Language:Jupyter Notebook46582

• zbenmo/detecting-and-mitigating-bias-in-machine-learning-models-using-shap-and-aif360

  submissions

  Language:Jupyter Notebook1

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python2k425

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.4k10k

• qiyuangong/leetcode

  Python & JAVA Solutions for Leetcode

  Language:Python5.2k1.5k

• Trusted-AI/AIX360

  Interpretability and explainability of data and machine learning models

  Language:Python1.6k308

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.4k1.8k

• zhengqigao/PRML-Solution-Manual

  My Own Solution Manual of PRML

  968128

• RedstoneWill/Andrew-Ng-deeplearning.ai

  Andrew Ng Deeplearning.ai Course Notes

  8026

• Kulbear/deep-learning-coursera

  Deep Learning Specialization by Andrew Ng on Coursera.

  Language:Jupyter Notebook7.5k5.5k