Alternatives and similar repositories for local_gaussian_regression

Users that are interested in local_gaussian_regression are comparing it to the libraries listed below

• i-abr / active-learning-koopman
  ☆24Updated 4 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 5 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆68Updated 2 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆56Updated 3 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 5 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
• vvrs / MPPIController
  Robot Controls Course Project
  ☆62Updated 3 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆29Updated 2 years ago
• mayataka / maafa
  A PyTorch implementation of MPC as a Function Approximator
  ☆18Updated 4 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆55Updated 4 years ago
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 5 years ago
• 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…
  ☆72Updated 2 years ago
• HJReachability / safety_rl
  ☆28Updated 3 years ago
• Weizhe-Chen / ParetoMCTS
  Python demo for the paper "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning".
  ☆34Updated 2 years ago
• uiuc-iml / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆45Updated 2 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated last year
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆52Updated 5 months ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆66Updated 4 years ago
• mrsd16teamd / matlab_iLQR
  Implementations of the iLQR algorithm
  ☆33Updated 8 years ago
• UtkarshMishra04 / DMD-MPC-RL
  This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL
  ☆24Updated 3 years ago
• yzhao334 / Flipping-Test
  Test for solving drone flipping problem using numerical optimal control (specific, pseudo optimal control)
  ☆14Updated 7 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
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆39Updated 5 years ago
• anindex / stoch_gpmp
  Implementation of Stochastic Gaussian Process Motion Planning algorithm, IROS 2022.
  ☆19Updated last year
• LeeLinJun / mpc-mpnet-py
  ☆56Updated 4 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• kimukook / CLF-CBF-python
  This is a python repo that implements control barrier function quadratic programming method.
  ☆14Updated 3 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆66Updated 3 years ago
• jisacks / dmpo
  Code for the paper "Deep Model Predictive Optimization"
  ☆28Updated last year