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Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
Fast and embedded solvers for nonlinear optimal control
Lecture slides for an AI course, based on slides by Poole & Mackworth
Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
Learning Certified Control Using Contraction Metric (CoRL 2020)
"Safety-Critical Control using Optimal-decay Control Barrier Functions with Guaranteed Point-wise Feasibility" by J. Zeng, B. Zhang, Z. Li and K. Sreenath https://arxiv.org/pdf/2103.12375.pdf
Examples of learning control certificates
Toolbox for CLF QP controllers and Trajectory Optimization for Bipedal Robots
control-piecewise-affine-of-pendulum
A set of m-files that hopefully implements the ideas given in (Lu, Li et al. 2013)
A repository for control benchmarking code
This repository contains the MATLAB code for simulating covariance steering for stochastic linear systems using optimal and distributionally robust risk allocation
Repository containing student-facing material for CPSC 515 at UBC CS in the 2020 fall term
Differentiable convex optimization layers
Safe Learning for Distributed Systems with Bounded Uncertainties
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
High-performance interior-point-method QP and QCQP solvers
ICRA 2021 paper list
Official code for the paper "Physics-Informed Implicit Representations of Equilibrium Network Flows"
A survey of reinforcement learning solutions to the inverted pendulum problem.
Kalman Filter Matlab implementation example
Materials for the lake Como school
Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change
Aircraft collision avoidance with CBF learned from expert demonstrations
Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Lindemann, H. Zhang, D. V. Dimarogonas, S. Tu, and N. Matni, https://arxiv.org/abs/2004.03315
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.