Alternatives and similar repositories for mogpe:

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

• Stanford-ILIAD / active-preference-based-gpr
  Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
  ☆40Updated 10 months ago
• fmeier / local_gaussian_regression
  ☆11Updated 7 years ago
• sorooshafiee / WKF
  ☆14Updated 6 years ago
• thangbui / streaming_sparse_gp
  Streaming sparse Gaussian process approximations
  ☆62Updated 2 years ago
• lubaroli / dust
  This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
  ☆24Updated 3 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
• jgosmann / goppy
  Gaussian Online Processes for Python
  ☆15Updated last month
• linesd / SSGPR
  Sparse Spectrum Gaussian Process Regression
  ☆21Updated 4 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
• agijsberts / ssgpr
  Batch and incremental Sparse Spectrum Gaussian Process for Regression
  ☆10Updated 3 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆26Updated 2 years ago
• manschuer / SRGP
  stochastic recursive Gaussian Process (SRGP)
  ☆20Updated 4 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated 6 months ago
• TBeckers / CTC_GPR
  Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  ☆13Updated 5 years ago
• morim3 / DeepKalmanFilter
  Pytorch Implementation of Deep Kalman Filter
  ☆9Updated 2 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 4 years ago
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆44Updated 4 years ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆62Updated last year
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆22Updated 4 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago
• oscarkey / constrained-cem-mpc
  An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.
  ☆13Updated 5 years ago
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆37Updated 5 years ago
• LemonPi / pytorch_cem
  Cross Entropy Method implemented in pytorch
  ☆36Updated 2 years ago
• bjack205 / BilinearControl.jl
  ☆26Updated 2 years ago
• wjmaddox / online_vargp
  Online variational GPs
  ☆31Updated last year
• HildoBijl / SONIG
  Matlab source code for the SONIG algorithm: Sparse Online Noisy-Input Gaussian process regression.
  ☆28Updated 7 years ago
• befelix / safe-exploration
  Safe Exploration with MPC and Gaussian process models
  ☆90Updated 4 years ago
• jinming99 / DGP-IRL
  Deep Gaussian Process for Inverse Reinforcement Learning
  ☆33Updated 7 years ago