hehehegloria's Stars
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
gerdm/prml
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
uuvsimulator/uuv_simulator
Gazebo/ROS packages for underwater robotics simulation
OpenOCL/OpenOCL
Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
s7ev3n/MPC_Code
Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.
hiroyuki-kasai/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
yu-jiang/radpbook
Source code for examples in Book "Robust Adaptive Dynamic Programming"
mubowen/Baidu-Apollo-control-algorithm
Analyzed Baidu Apollo LQR and MPC lateral control algorithm based on dynamic vehicle model
savinay95n/Reinforcement-learning-Algorithms-and-Dynamic-Programming
Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal control. So essentially, the concept of Reinforcement Learning Controllers has been established. The Reinforcement Learning Controllers have been compared on the basis of performance and efficiency and they are separately compared with the classical Linear Quadratic Regulator Controller. Each of the RL controller have been integrated with a Swing up controller. A virtual switch toggles between the Swing up controller and the RL controller automatically, based on the value of the angular deviation theta with respect to the vertical plane. My research paper and my undergraduate thesis have been uploaded for reference. All the codes have also been uploaded.
andrewssobral/mtt
MATLAB Tensor Tools
mathworks-robotics/modeling-and-simulation-of-an-AUV-in-Simulink
This repository contains a variety of demonstration example models associated with the Design, Modeling and Simulation of Autonomous Underwater Vehicles webinar and video series.
lujingweihh/Adaptive-dynamic-programming-algorithms
Adaptive dynamic programming
thangbui/streaming_sparse_gp
Streaming sparse Gaussian process approximations
AnkushChak89/ApproximateNonlinearMPC
Implementation of model predictive control for nonlinear systems via machine learning and function approximators
kirthevasank/mf-gp-ucb
Multi-fidelity Gaussian Process Bandit Optimisation
enricoande/uuv
Matlab/Simulink model of UUV dynamics
AaltoML/IHGP
Infinite-horizon Gaussian processes
thangbui/sparseGP_powerEP
Unifying sparse approximations for Gaussian process regression and classification, using Power EP
MaaniGhaffari/incremental_gpom
Incremental Gaussian processes occupancy mapping using range-finder sensors
msareebhakak/Reinforcement-Learning-based-LQR
Reinforcement based gain calculation for a tracking LQR using actor-critic method
Bostanabad-Research-Group/GP-Plus
Python Library for Generalized Gaussian Process Modeling
rmgarnett/active_gp_hyperlearning
Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014).
cbecker/SOGP
Online Sparse Gaussian Process wrapper
agijsberts/ssgpr
Batch and incremental Sparse Spectrum Gaussian Process for Regression
HJReachability/learning_feedback_linearization
System identification via feedback linearization.
HJReachability/Tracking
licheng0794/BayesianActiveLearning
Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling
UMDataScienceLab/SGD-in-Gaussain-processes
We show that SGD can indeed be used to infer Gaussian processes. This in turn allows GPs to scale far beyond what was thought possible.
fmeier/differentiable-robot-model-docs
documentation for differentiable-robot-model library
juhang62/localGP
Spatio-temporal Forecasting Using Gaussian Processes