Pinned Repositories
Deep-reinforcement-learning---Shusen-Wang
write some notes
3D-Voxel-Map-to-2D-Occupancy-Map-Conversion-Using-Free-Space-Representation
Ros package for converting 3D voxel maps generated by the UFOMap mapping solution into 2D occupancy maps for unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGV)
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ChatPaper
Use ChatGPT to summarize the arXiv papers.
drl
单机多卡分布式训练+两个PPO训练trick
DRL-code-pytorch
Tricks; Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
DRL_robot_exploration
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement Learning
DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
ElegantRL
Cloud-native Deep Reinforcement Learning. 🔥
MIINGYANG's Repositories
MIINGYANG/MIINGYANG
MIINGYANG/3D-Voxel-Map-to-2D-Occupancy-Map-Conversion-Using-Free-Space-Representation
Ros package for converting 3D voxel maps generated by the UFOMap mapping solution into 2D occupancy maps for unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGV)
MIINGYANG/MIINGYANG.github.io
Personal homepage maintenance
MIINGYANG/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
MIINGYANG/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
MIINGYANG/XTDrone
UAV Simulation Platform based on PX4, ROS and Gazebo
MIINGYANG/PlotNeuralNet
Latex code for making neural networks diagrams
MIINGYANG/ChatPaper
Use ChatGPT to summarize the arXiv papers.
MIINGYANG/tianshou
An elegant PyTorch deep reinforcement learning library.
MIINGYANG/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
MIINGYANG/paper_downloader
Download papers and supplemental materials from open-access paper website, such as AAAI, ACCV, AISTATS, COLT, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS.
MIINGYANG/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
MIINGYANG/grid_map
Universal grid map library for mobile robotic mapping
MIINGYANG/slam_gmapping
http://www.ros.org/wiki/slam_gmapping
MIINGYANG/rosdistro
This repo maintains a lists of repositories for each ROS distribution
MIINGYANG/drl
单机多卡分布式训练+两个PPO训练trick
MIINGYANG/DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
MIINGYANG/ros2-for-unity
High-performance ROS2 solution for Unity3D
MIINGYANG/pymarl
Python Multi-Agent Reinforcement Learning framework
MIINGYANG/Fast-Drone-250
hardware and software design of the 250mm autonomous drone
MIINGYANG/Learning-Notes
MIINGYANG/ElegantRL
Cloud-native Deep Reinforcement Learning. 🔥
MIINGYANG/Deep-reinforcement-learning---Shusen-Wang
write some notes
MIINGYANG/DRL-code-pytorch
Tricks; Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
MIINGYANG/torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
MIINGYANG/Multi-Agent-Reinforcement-Learning-Environment
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
MIINGYANG/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
MIINGYANG/map_merge_custom
MIINGYANG/Robotics-Nav2-SLAM-Example
An example project which contains the Unity components necessary to complete Navigation2's SLAM tutorial with a Turtlebot3, using a custom Unity environment in place of Gazebo.
MIINGYANG/MADRL
Repo containing code for multi-agent deep reinforcement learning (MADRL).