chengliu-LR/gate-detection-FCN
Recognizing Gates via Semantic Segmentation Based on Fully Convolutional Networks in Autonomous Drone Racing.
Recognizing Gates via Semantic Segmentation Based on Fully Convolutional Networks in Autonomous Drone Racing.
Risk-averse reinforcement learning algorithms for drone indoor navigation and obstacle avoidance.
Hybrid action space reinforcement learning algorithms.
An AI Hedge Fund Trading System
A collection of algorithms and data structures
A PyTorch implementation version of Proximal Policy Optimization Algorithm.
Implementation of lung nodule detection and false positive reduction using CT images for LUNA16-LUng-Nodule-Analysis-2016-Challenge.
PyTorch Implementation of off-policy reinforcement learning algorithms like Q-learning, DQN, DDPG and TD3.
Supplement materials for Micro Quadcopter Obstacle Avoidance with a Lightweight Monocular Depth Network
A UAV 2D navigation OpenAI gym environment with hybrid action space.
A crazyflie simulation environment with gym interface.
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Python library to communicate with Crazyflie
Codes/notes about abstractive and effective C++ programming.
The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag.
A repository containing my python notebooks about PyTorch.
This is a reproduction of fractional max pooling method for CNN on MNIST, CIFAR10 and CIFAR100.
A quadcopter simulator with single and multi-quad simulations
OpenAI gym Environments for Quadrotor Control
Quadrotor control, path planning and trajectory optimization