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
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆67Updated 2 years ago
• aidanscannell / mogpe
  Mixtures of Gaussian Process Experts in GPflow/TensorFlow
  ☆11Updated 3 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆28Updated 2 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 5 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆56Updated 3 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆27Updated 4 years ago
• anindex / stoch_gpmp
  Implementation of Stochastic Gaussian Process Motion Planning algorithm, IROS 2022.
  ☆18Updated last year
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆39Updated last year
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 5 years ago
• rperezdattari / Stable-Motion-Primitives-via-Imitation-and-Contrastive-Learning
  Code accompanying the paper: "Stable Motion Primitives via Imitation and Contrastive Learning" (T-RO).
  ☆27Updated last year
• vvrs / MPPIController
  Robot Controls Course Project
  ☆61Updated 3 years ago
• ossamaAhmed / blackbox_mpc
  Sampling based Model Predictive Control package for Model-Based RL research
  ☆55Updated 4 years ago
• mrsd16teamd / matlab_iLQR
  Implementations of the iLQR algorithm
  ☆33Updated 8 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated last year
• uiuc-iml / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆45Updated 2 years ago
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆52Updated 4 months ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆16Updated 3 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…
  ☆71Updated 2 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆38Updated 3 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆64Updated 3 years ago
• StanfordASL / LSBMP
  ☆21Updated 7 years ago
• LeeLinJun / mpc-mpnet-py
  ☆56Updated 4 years ago
• epfl-lasa / dynamic_obstacle_avoidance_linear
  This package contains a dynamic obstacle avoidance algorithm for concave and convex obstacles as developped in [1].
  ☆67Updated 2 years ago
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆65Updated 4 years ago
• sundw2014 / STLPlanning
  Path planning from STL (Signal Temporal Logic) specifications
  ☆55Updated 2 years ago
• Alonso94 / Data-efficient-RL
  A python implementation for PILCO algorithm for a robotic arm - tested on mujoco robotics environment
  ☆12Updated 5 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated last year
• thaipduong / SE3HamDL
  Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
  ☆44Updated 2 years ago