Dongyoon Kim (rlsotlr01)

rlsotlr01

Geek Repo

Company:Tsinghua University, Vehicle Engineering

Location:Ansan, Korea

Home Page:https://blog.naver.com/ehddbs1213

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Dongyoon Kim's repositories

Bayesian_Optimization_for_MPC_tuning

Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters

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Big12TeamProject

TeamProject (비밀번호 및 개인정보 같은 경우는 보안을 위해서 개인컴퓨터에다가 적어주세요.)

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safety-gym

Tools for accelerating safe exploration research.

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2D-GD-and-CG-code

Gradient Descent and Conjugate Gradient Code for 2D plane

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3_hours_RL_Practice

Implementing the RL practical code by using baselines3 library in OpenAI

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Application-of-Bayesian-Optimization-Gaussian-Process-in-Stock-market

Application of Bayesian Optimization (Gaussian Process) in Stock market

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cssPhoneBookWithPaging

start to make the paging function in the css web application.

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Deep_Learning_with_Python

Practicing the all coding in the book of "Deep Learning with Python"

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easy-rl

强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github.io/easy-rl/

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LQ_Controller_Active_Suspension

Apply the LQ controller in the active suspension, and check the stability using Kharitinov stability theory

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MachineLearning-DeepLearning

Studying machine learning and deep learning skills.

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MPC-and-MHE-implementation-in-MATLAB-using-Casadi

This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/p

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neural_clbf

Toolkit for learning controllers based on robust control Lyapunov barrier functions

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PPO_with_Mario_Game

Apply PPO Reinforcement Learning algorithm to learn the Mario game in Gym environment

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ReinforcedLearningPractice

ReinforcedLearningPractice

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rlsotlr01.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

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Safe-Reinforcement-Learning-Baselines

The repository is for safe reinforcement learning baselines.

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SpringPractice

Practicing Spring tools

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Stock_cur_collector

Collecting the current stock information by using Creon API.

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stock_daily_collector

collecting the stock data for each day from the day to go public to the latest day by using Creon API

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Stock_LSTM_Analysis_samsung

Analyize the stock movement of Samsung company in Korea with LSTM method

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Udacity_Self_driving_practice

Practicing the multiple self-driving technology from Udacity Self Driving Car Engineering Nanodegree lecture

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webdev

practicing to make a repository

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