aidanscannell / mogpeLinks
Mixtures of Gaussian Process Experts in GPflow/TensorFlow
☆12Updated 3 years ago
Alternatives and similar repositories for mogpe
Users that are interested in mogpe are comparing it to the libraries listed below
Sorting:
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆28Updated 4 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- ☆11Updated 7 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- ☆17Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆70Updated 2 years ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated last year
- Cross Entropy Method implemented in pytorch☆37Updated 3 years ago
- Model-based Control using Koopman Operators☆55Updated 5 years ago
- Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"☆46Updated 2 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆24Updated 3 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆29Updated 3 years ago
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆17Updated 5 years ago
- ☆27Updated 4 years ago
- ☆16Updated 7 years ago
- Code for paper "AK: Attentive Kernel for Information Gathering. Robotics: Science and Systems (RSS), 2022."☆21Updated last year
- Streaming sparse Gaussian process approximations☆68Updated 3 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆27Updated 5 months ago
- This is a python repo that implements control barrier function quadratic programming method.☆14Updated 3 years ago
- Risk-averse trajectory optimization☆20Updated 2 years ago
- ☆58Updated 3 years ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆53Updated 6 months ago
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆25Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆69Updated 4 years ago
- Safe Exploration with MPC and Gaussian process models☆88Updated 5 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆55Updated 5 years ago
- ☆30Updated 4 years ago
- ☆11Updated 3 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆43Updated 6 years ago
- ☆73Updated 5 years ago