Su-Yalu

Su-Yalu's Stars

• Verified-Intelligence/Lyapunov_Stable_NN_Controllers

  Lyapunov-stable Neural Control for State and Output Feedback

  Language:Python5311

• MingshanHe/Compliant-Control-and-Application

  Compliant Control: 1) admittance control algorithm 2) impedance control algorithm 3) hybrid force&position algorithm in robotic arm (Universal Robot).

  Language:C++30362

• HumanCompatibleAI/imitation

  Clean PyTorch implementations of imitation and reward learning algorithms

  Language:Python1.3k240

• shoefer/ball_catching

  Language:Jupyter Notebook3

• scc-lab/publications-code

  Code to reproduce results in peer-reviewed publications

  Language:MATLAB1313

• emad-arezoomand/online-actor-critic-algorithm-to-solve-continues-time-infinite-horizon-optimal-control-problem

  online actor critic algorithm to solve the continues time infinite horizon optimal control problem

  Language:Jupyter Notebook7

• lujingweihh/Adaptive-dynamic-programming-algorithms

  Adaptive dynamic programming

  Language:MATLAB6316

• Zheng-Meng/Tracking-Control

  Published in Nature Communications: Model-free tracking control of complex dynamical trajectories with machine learning.

  Language:MATLAB153

• epfl-lasa/OptimalModulationDS

  Language:Python162

• yu-jiang/radpbook

  Source code for examples in Book "Robust Adaptive Dynamic Programming"

  Language:MATLAB11645

• nguyentrungnghia1998/Reinforcement-Learning-for-Optimal-Feedback-Control-Simulation

  Language:MATLAB96

• bo-pang/time_varying_ADP

  Several ADP algorithms code for the data-driven optimal control of linear time-varying systems

  Language:MATLAB114

• farzanehpourahmadi/ADP

  Language:MATLAB1

• yunzhongjie/DT-Hinf-Tracking

  H_inf tracking control for linear discrete-time systems using ADP

  Language:MATLAB94

• NVlabs/storm

  Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit

  Language:Python18637

• epfl-lasa/Neural-JSDF

  Language:MATLAB201

• youngwoon/transition

  Official code for the paper "Learning Transition Policies for Composing Complex Skills" (ICLR 2019)

  Language:HTML7312

• rstrudel/rlbc

  [ICRA2020] Learning policies for robotic manipulation

  Language:Python5211

• StanfordASL/neural-network-lyapunov

  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.

  Language:Python13729

• davidADSP/Generative_Deep_Learning_2nd_Edition

  The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

  Language:Jupyter Notebook1.1k391

• locuslab/stable_dynamics

  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)

  Language:Jupyter Notebook3214

• robotgradient/iflow

  Language:Python175

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.3k146

• RussTedrake/manipulation

  Course notes for MIT manipulation class

  Language:Jupyter Notebook411121

• nbfigueroa/quatDS-lib

  Matlab/C++ library to generate rotational motion with quaternion-DS.

  Language:MATLAB4

• sayantanauddy/clfd

  Code for the paper Continual Learning from Demonstration of Robotic Skills

  Language:Jupyter Notebook292

• Sunchanghao/ur5_gazebo_pickup

  Language:Python357

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.1k2.6k

• muddasser-mm/Thrower_Goalie_RobotArms

  The project involves building a scenario consisting of a Thrower and a Goalie robot arms. The thrower moves to the desired position and throws the ball while the task of the goalie is to intercept and block the incoming ball from making a goal.

  Language:Python4

• dibyaghosh/dnc

  Code for "Divide-and-Conquer Reinforcement Learning"

  Language:Python6013