Alternatives and similar repositories for Online-Meta-Adaptive-Control

Users that are interested in Online-Meta-Adaptive-Control are comparing it to the libraries listed below

• unstable-zeros / learning-cbfs
  Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…
  ☆74Updated 2 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆68Updated 4 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆57Updated 5 years ago
• vvrs / MPPIController
  Robot Controls Course Project
  ☆62Updated 4 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆70Updated 4 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆171Updated 6 months ago
• HJReachability / safety_rl
  ☆30Updated 4 years ago
• wanxinjin / Safe-PDP
  Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…
  ☆71Updated 3 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 years ago
• hocherie / cbf_quadrotor
  Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
  ☆65Updated 2 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆56Updated 5 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆72Updated 2 years ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆32Updated 3 years ago
• jisacks / dmpo
  Code for the paper "Deep Model Predictive Optimization"
  ☆28Updated 2 years ago
• LeeLinJun / mpc-mpnet-py
  ☆58Updated 4 years ago
• i-abr / active-learning-koopman
  ☆27Updated 4 years ago
• YaChienChang / Neural-Lyapunov-Control
  Learning Lyapunov functions and control policies of nonlinear dynamical systems
  ☆139Updated 4 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆29Updated 3 years ago
• wanxinjin / Pontryagin-Differentiable-Programming
  A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…
  ☆180Updated 2 years ago
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆53Updated 7 months ago
• ferreirafabio / mppi_pendulum
  The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…
  ☆104Updated 5 months ago
• sundw2014 / STLPlanning
  Path planning from STL (Signal Temporal Logic) specifications
  ☆58Updated 3 years ago
• uiuc-iml / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆47Updated 2 years ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆42Updated 3 years ago
• dtch1997 / rl_cbf
  Code accompanying "Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory"
  ☆31Updated last year
• Verified-Intelligence / Lyapunov_Stable_NN_Controllers
  Lyapunov-stable Neural Control for State and Output Feedback
  ☆80Updated last year
• KevinHuang8 / DATT
  Repo for paper DATT: Deep Adaptive Trajectory Tracking for Quadrotor Drones
  ☆75Updated last year
• ZhaomingXie / CDDP
  constraint differential dynamical programming
  ☆28Updated 3 years ago
• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆28Updated 4 years ago
• Weizhe-Chen / ParetoMCTS
  Python demo for the paper "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning".
  ☆34Updated 3 years ago