bhan5426's starred repositories
underactuated
The course text for MIT 6.832 (and 6.832x on edX)
SoftRobots
This Sofa plugin contains components & method for soft robotics.
tool-games
Physics games involving tool use for studying human physical representations and rapid trial-and-error learning
CubismUP_2D
Robust and high-performance solver for incompressible 2D NS eq. in velocity-pressure formulation. This solver allows multiple self-propelled objects with variable density and includes many control problems designed to run with https://gitlab.ethz.ch/mavt-cse/smarties .
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Reinforcement-learning-for-quadcopter
Use reinforcement learning to build agents that can learn quadcopter flying behaviors on their own
Quadcopter-Deep-Reinforcement-Learning
Train a quadcopter to fly with a deep reinforcement learning algorithm - DDPG
rotors_simulator
RotorS is a UAV gazebo simulator
deep-reinforcement-learning-drone-control
A drone control system based on deep reinforcement learning with Tensorflow and ROS
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
databook_matlab
Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/
ROM-OpInf-Combustion-2D
Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.
StructurePreservingNN
Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).
rom-operator-inference-Python3
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
data-assisted
Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1803.03365
Reservoir-Simulator
1D and 2D Reservoir simulators for single-phase, two-phase flow in porous media with wells and gravity.
battery-fast-charging-optimization
This repository contains much of the data, code, and visualizations associated with this manuscript: