Alex-yanranwang
My research interests mainly include autonomous navigation and drones. Also, I love classic music and sports. Welcome to contact to me! :-)
Imperial College LondonLondon
Alex-yanranwang's Stars
Alex-yanranwang/ConsDRED-SMPC
A novel and interpretable trajectory tracker integrating a Constrained Distributional Reinforced-disturbance-estimator (ConsDRED) for unknown aerodynamic effects into a Stochastic Model Predictive Controller (SMPC)
ZJU-FAST-Lab/VID-Fusion
VID-Fusion: Robust Visual-Inertial-Dynamics Odometry for Accurate External Force Estimation
sherlockLitao/HCP
shiqiangw/iclr2024-scores
Alex-yanranwang/Imperial-KinoJGM
Code for ICRA 2022 paper - KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments
wh200720041/ssl_slam3
SSL_LIO: Solid-State LiDAR based LiDAR-Inertial SLAM
hengli/camodocal
CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
youkely/InfrasCal
InfrasCal: Automatic Infrastructure-based Intrinsic and Extrinsic Calibration of a Multi-camera System
hku-mars/FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
XW-HKU/LINS---LiDAR-inertial-SLAM
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
hku-mars/VoxelMap
[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry
wh200720041/ssl_slam
SSL_SLAM: Lightweight 3-D Localization and Mapping for Solid-State LiDAR IEEE RA-L 2021
awesome-mlss/awesome-mlss
🤖 Machine Learning Summer School deadlines
rcheng805/CORE-RL
Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcement Learning" for additional details.
Hauf3n/Categorical-DQN-Atari-PyTorch
Implementation of Categorical DQN (C51)
toshikwa/fqf-iqn-qrdqn.pytorch
PyTorch implementation of FQF, IQN and QR-DQN.
Kchu/DeepRL_PyTorch
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
senya-ashukha/quantile-regression-dqn-pytorch
A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
flyyufelix/VizDoom-Keras-RL
Reinforcement Learning in Keras on VizDoom
flyyufelix/C51-DDQN-Keras
C51-DDQN in Keras
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
intel-analytics/ipex-llm
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, GraphRAG, DeepSpeed, Axolotl, etc
Krasjet/quaternion
A brief introduction to the quaternions and its applications in 3D geometry.
kuankuan-yue/VINS-FUSION-leanrning
VINS-FUSION中文注释版.目前网络上对于VINS-mono的代码已经有很多讲解和注释了,但是对于VINS-FUSION(以下简称VF)的注释还是很少的,刚好本人最近也正在学习VIO的相关知识,所以对VF按照程序执行顺序进行了十分详细的注释,同时为了和大家进行交流学习,所以把相关注释代码进行开源。因水平有限,错误肯定不少,还请各位大佬们指正。
robin-shaun/XTDrone
UAV Simulation Platform based on PX4, ROS and Gazebo
tommasopolonelli/SynthSense-WSN-UAV
mit-acl/faster
3D Trajectory Planner in Unknown Environments
PaoPaoRobot/ICRA2020-paper-list
ICRA2020 paperlist by paopaorobot
PaoPaoRobot/IROS2020-paper-list
IROS2020 paperlist by paopaorobot