Hang's Projects
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Reinforcement Deep Double Q-Learning implemented with Pytorch
Official implementation of learning to terminate in object navigation, accepted to ACML 2023.
Includes several attempts to use deep learning techniques to train the neural network to learn a grasp detection,
Docker image for Clearpath's Husky A200 on ROS 1 Melodic, added lidar support and with a script of PID control on wall following.
A beautiful, simple, clean, and responsive Jekyll theme for academics
An pytorch implementation of Monte-Carlo Policy Gradient algorithm to address CartPole-v0 problem under Open-AI GYM environment.
Homework 2 for 2024 DRL module of NTHU.
Homework 4 for 2024 DRL module of NTHU.
NTHU_HW2
Slam Gmapping for ROS2 with a map cleaning service.
This project involves the approach to extract SIFT(Scale-Invariant Feature Transform) features from training data of given dataset with 5 different classes, and clustering the result SIFT descriptors to form an dictionary of Bag-of-words representation.
Build for TOPSOFT - INT team.
PhD Student at University of Liverpool & NTHU