gavin-tao's Projects
Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China
Ape-x DQN implementation on Pikachu Volleyball
An open autonomous driving platform
Fork of Apollo 5.0 for LGSVL Simulator
the code of Apollo with the explanation of each line
Trajectory planning for highway situation with classic robotics approach.
An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
Only used for self-learning
CommNet and BiCnet implementation in tensorflow
Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning
CVPR 2020 论文开源项目合集
Practical implementation of the literature review section for my masters paper entitled "Deep Reinforcement Learning for Autonomous Driving"
multi-agent deep reinforcement learning for large-scale traffic signal control.
Decentralized Scheduling for Cooperative Localization with Deep Reinforcement Learning
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
Torch installation in a self-contained folder
An autonomous Vehicle running on CARLA simulator
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach (https://arxiv.org/abs/2312.07795)
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
ECCV 2020 论文开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2020开源项目
Implementation for learning a mapping from images that contain dynamic objects in a city environment to static realistic images
MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)
PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
Python package for the evaluation of odometry and SLAM
Project for summenr intern @ THU Autonomous Driving Lab
Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"