Name: Howard Cho
Type: User
Company: Robotics Research Software Engineering
Bio: MS in Controls, Mechatronics & Robotics at UW •
I am interested in robotics, programming, machine learning, deep learning, and reinforcement learning.
Location: Seattle, WA
Blog: https://github.com/bmaxdk
Howard Cho's Projects
Multi-Agent Reinforcement Learning
GPU-based parallel computing in engineering applications including autonomous vehicles, robotics, simulation, and design
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
car status detection yolo
Project #2 Advanced Lane Finding for Udacity's Self-Driving Car Engineer Nanodegree Program Topics Resources
Project #1 Finding Lane Lines for Udacity's Self-Driving Car Engineer Nanodegree Program Topics Resources
Basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming.
Deep Learning Specialization
Multi-Agent Reinforcement Learning: Collaboration and Competition
DDPG and D4PG Continuous Control
Project1 Navigation
Graph SLAM
Grid-based Fast SLAM
Kalman filter implementation in C++ using Eigen
LeetCode Practice
Monte Carlo Localizatioin
Machine Learning Stanford Andrew Ng
Neural Networks in PyTorch for Review
Monte Carlo method
Implement hill-climbing method with adaptive noise scaling
Implementation of REINFORCE to solve OpenAI Gym's CartPole environment.
TD Control methods
Dynamic Programming
Deep Q-Learning to solve OpenAI Gym's LunarLander environment.
Apply Double Deep Q Learning
Apply Prioritized Experience Replay
Apply Double Dueling DQN