Alternatives and similar repositories for mogpe:

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

• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆24Updated 3 years ago
• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆40Updated last year
• sorooshafiee / WKF
  ☆14Updated 6 years ago
• fmeier / local_gaussian_regression
  ☆11Updated 7 years ago
• Bigpig4396 / Incremental-Gaussian-Process-Regression-IGPR
  ☆15Updated 3 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆38Updated 5 years ago
• harwiltz / stable-dynamics-models
  PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…
  ☆16Updated 4 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆26Updated 2 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆45Updated 4 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆64Updated 2 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated 8 months ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆36Updated 3 years ago
• jgosmann / goppy
  Gaussian Online Processes for Python
  ☆16Updated 2 months ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 4 years ago
• fusion-ml / trajectory-information-rl
  Bayesian active RL (BARL) and trajectory information planning (TIP)
  ☆25Updated 2 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆62Updated last year
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 5 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆51Updated 3 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 4 years ago
• kimukook / CLF-CBF-python
  This is a python repo that implements control barrier function quadratic programming method.
  ☆12Updated 3 years ago
• oscarkey / constrained-cem-mpc
  An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
  ☆14Updated 5 years ago
• bjack205 / BilinearControl.jl
  ☆26Updated 2 years ago
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆9Updated 2 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆23Updated 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"
  ☆41Updated last year
• agijsberts / ssgpr
  Batch and incremental Sparse Spectrum Gaussian Process for Regression
  ☆10Updated 4 years ago
• LearningByDoingCompetition / learningbydoing-comp
  LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
  ☆18Updated 2 years ago