Hao Yan's starred repositories
StateAdvDRL
[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
TrailerReverse
Use reinforcement learning to reverse a model of a towing vehicle with a connected trailer.
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停车场系统源码，新能源充电桩系统，停车场小程序，智能停车，Parking system，【功能介绍】：①兼容市面上主流的多家相机，理论上兼容所有硬件，可灵活扩展，②相机识别后数据自动上传到云端并记录，校验相机唯一id和硬件序列号，防止非法数据录入，③用户手机查询停车记录详情可自主缴费(支持微信，支付宝，银行接口支付，支持每个停车场指定不同的商户进行收款)，支付后出场在免费时间内会自动抬杆。④支持app上查询附近停车场(导航，可用车位数，停车场费用，优惠券，评分，评论等)，可预约车位。⑤断电断网支持岗亭人员使用app可接管硬件进行停车记录的录入。 【技术架构】：后端开发语言java，框架oauth2+springboot2+dubble，数据库mysql/mongodb/redis，即时通讯底层框架netty4，安卓和ios均为原生开发，后台管理模板vue专业定制
ant-design-pro
👨🏻💻👩🏻💻 Use Ant Design like a Pro!
HighwayEnv
A minimalist environment for decision-making in autonomous driving
TrailerController
Python project to display and control a trailer going backwards
robust-adaptive-lqr
Implementation of robust adaptive control methods for the linear quadratic regulator
Reinforcement_Learning_Auto_Parking
Auto-parking in reinforcement learning
vehicle-mpc-controller
Simple library to simulate, test and tune Model Predictive Control (MPC) for autonomous vehicles.
UnityMLEssentials
Various examples of ml-agents while teaching concepts about it in YouTube
trailer-parking
Control design to model parking a trailer
Autoparking
Self parking with reinforcement learning
MotionPlanner
Motion Planner for Self Driving Cars
learnopencv
Learn OpenCV : C++ and Python Examples
PIDOptimizer
Code for this CVPR 2018 paper: "A PID Controller Approach for Stochastic Optimization of Deep Networks", Wangpeng An, Haoqian Wang, Qingyun Sun, Jun Xu, Qionghai Dai, Lei Zhang.
DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
Freespace_Segmentation-Ford_Otosan_Intern
Development of Deep Learning algorithm for Drivable Area Segmentation with data collected and labeled by Ford Otosan.
mobilenetv3.pytorch
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-Learning
System Identification and Self-Tuning PID Control using NN
TCLab_emulate_PID
Jupyter notebooks demonstrating the process of emulating a PID controller with an LSTM, and using that for anomaly detection
trajectory-prediction-for-KalmanPrediction-and-DeepLearning
This repository is for studying a trajectory prediction using Kalman filter and deep learning models.
Reinforcement-Learning
Implementing policy-value iteration and Q-learning algorithms for a Controlled MDP. Kalman filter implementation
Deep-Learning-Based-State-Estimation
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm