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Some codes for heterogeneous agent models
Open-source study guide of Robotics
"Multi-Level Electric Vehicle Charging Facilities with Limited Resources" submitted to IFAC 2020
Conrol theory project a friend and I did for our Intelligent Control class during our minor (undergraduate level)
An analysis of different intelligent control techniques (evolutionary alg., reinf. learn., neural networks) applied to robotic manipulators.
Transmitter and receiver design over acoustic channel
Fuzzy logic control
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
A simple MATLAB simulator for prototyping control strategies on multi-agent aeromagnetic surveys
Contains some of my collected work from my time at JMU
Learning-Based Model Predictive Control (LBMPC)
《统计学习方法》的代码实现
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Codes for Lyapunov optimization.
Repo containing code for multi-agent deep reinforcement learning (MADRL).
MAGNet: Multi-agents control using Graph Neural Networks
Animation engine for explanatory math videos
Paper list of multi-agent reinforcement learning (MARL)
Multi-Agent System
Code for the paper "Lyapunov Stability Analysis of a Mass-Spring system subject to Friction"
Model predictive control of micro aerial vehicle using onboard microcontroller
Machine Learning Resources, Practice and Research
The stochastic approach to predict the model estimation is a recently introduced control strategy for the underactuated systems (hopping robot) that allows the system to predict its trajectory movements in the unpredicted environment. In this work, we demonstrate the stochastic approach through Machine Learning technique (Gaussian Mixture Model) which allows us to predict the state information by interpreting with the sample state information of the Hopping robot through a probabilistic approach. The output of this approach will yield us with the desired estimated state of the system. Finally, we are going to hand over our work for applying this estimated policy to the simulated Hopping robot by using an Iterative Linear Quadratic Regulator (iLQR) as a controller which updates the predicted model estimation to the existing control policy of the system to determine its optimal trajectory motion.
VirtualArena package for the design of MPC controllers with closed-loop guarantees.
Open collection of model predictive control (MPC) benchmarking problems
A MATLAB program that implements Multi-agent flocking, following a target, avoiding obstacles
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.