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awesome-robotics

A list of awesome Robotics resources

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

control-and-system-book

textbook about control, robotics, system

demo_for_kalmanfilter

fusion algorithm(kf) with only ranging(UWB) and 6-axis imu sensor

ee-511-project-2

Monte Carlo Methods

gaussian-process-based-model-predictive-control

Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart

gp-est

Bayesian optimization with the Gaussian process assumption

gp-python

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

gprt

Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

gym

A toolkit for developing and comparing reinforcement learning algorithms.

lyapunov-learning

Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes

monte-carlo

Various examples of using Monte Carlo method in MATLAB

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

numericalgp

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

oceaned

MATLAB code for creating hydrodynamic time-domain models of wave energy converter arrays

openocl

Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pythonrobotics

Python sample codes for robotics algorithms.

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

reinforcement-learning-and-optimal-control

reinforcement-learning-inverted-pendulum

This is the repository of the Final Semester Undergraduation Project on Reinforcement Learning (Inverted Pendulum problem) done by Nikhil Podila and Savinay Nagendra. The project was performed under the guidance of Professor Koshy George at the Center of Intelligent Systems in PES Institute of Technology, Bangalore, India

safeopt

Safe Bayesian Optimization

sindy-mpc

stochastic-processes

Stochastic Valuation Processes for stock prices and bond rates

thinkpython

Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.

tutorialgp

Tutorial on Gaussian Processes