HaoWangSir's starred repositories
annotated_deep_learning_paper_implementations
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
PythonRobotics
Python sample codes for robotics algorithms.
homemade-machine-learning
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
tuning_playbook_zh_cn
ไธๆฌ็ณป็ปๅฐๆไฝ ๅฐๆทฑๅบฆๅญฆไน ๆจกๅ็ๆง่ฝๆๅคงๅ็ๆๆฏๆๅใ
awesome-reinforcement-learning
Learning Resources And Links Of Reinforcement Learning ๏ผupdating๏ผ
AFISMC
a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The plant under study is subjected to a square-integrable disturbance and is assumed to have mismatch uncertainties both in state- and input-matrices. In addition, a norm-bounded time varying term is introduced to address the possible existence of un-modelled/nonlinear dynamics. Based on the classical sliding mode controller (SMC), the equivalent control effort is obtained to satisfy the sufficient requirement of SMC and then the control law is modified to guarantee the reachability of the system trajectory to the sliding manifold. The sliding surface is compensated based on the observed states in the form of linear matrix inequality (LMI). In order to relax the norm-bounded constrains on the control law and solve the chattering problem of SMC, a fuzzy logic (FL) inference mechanism is combined with the controller. An adaptive law is then introduced to tune the parameters of the fuzzy system on-line. Finally, by aiming at evaluating the validity of the controller and the robust performance of the closed-loop system, the proposed regulator is implemented on a real-time mechanical vibrating system.
CarND-Extended-Kalman-Filter
Udacity CarND-Extended-Kalman-Filter project
Kalman_Filter_and_Extended_Kalman_Filter
Implementation of an EKF to predict states of a 6 DOF drone using GPS-INS fusion. Also ass3_q2 and ass_q3_kf show the difference between state estimation without KF and with KF
columnlegend
Creates a legend with a specified number of columns
EKF_based_Adaptive_control
LQR controller design for nonlinear systems via KEF based parameter estimation
Adaptive-Controller-Project
This project contains 2 methods for implementing an adaptive controller on a 2-link robot arm.
2.153-adaptive-controller-quadrotor
MIT's Adaptive Control and Connections to Machine Learning (2.153) class project: adaptive controller for a quadrotor
decoupled-yaw-controller-comparison
Codes used for generating the results in the paper "Geometric Adaptive Controls of a Quadrotor UAV with Decoupled Attitude Dynamics"
ECE517_Nonlinear_and_Adaptive_Control
Contains simulation code for different homework assignment problems showcasing controller design for stabilizing systems with unknown parameters/distrubances etc
L1-Adaptive-Controller-RISS
Trajectory Tracking With L1 Adaptive Controller
MEAM620-Project1
Controller of Quadrotor. Path Planning. Trajectory tracking
Adapative-Controller-under-the-single-Neural-Mass-Model
Nonlinear Control; NMM; Adaptive control;Code genration; Simulink; Stateflow.
NonLinear-Project
Mobile Manipulator Dynamics Based Adaptive Nonlinear Controller
Adaptive-controller-for-manipulator
Control manipulator with adaptive controller