NoemieJaquier / GaBOtorch
This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
☆49Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for GaBOtorch
- This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…☆20Updated last year
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated 7 months ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Online variational GPs☆30Updated last year
- ☆38Updated last year
- ☆17Updated 4 years ago
- ☆34Updated 2 years ago
- A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015☆13Updated 5 years ago
- ☆33Updated 4 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆17Updated 2 years ago
- Repository containing the code for Implicit Manifold Gaussian Process.☆12Updated 3 months ago
- ☆21Updated 5 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆55Updated 3 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆47Updated 11 months ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆41Updated 2 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆21Updated 3 years ago
- Contextual Relative Entropy Policy Search for Reinforcement Learning in Python☆15Updated 6 years ago
- ☆15Updated last year
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 4 years ago
- Neural ODE tutorial☆9Updated 2 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆27Updated 3 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆26Updated 3 years ago
- ☆42Updated 3 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆25Updated 9 months ago
- A toolbox for inference of switching systems for control☆13Updated 3 years ago
- A framework for neural network control of dynamical systems over graphs.☆54Updated 2 years ago
- Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.☆50Updated last year
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆31Updated last year
- Implementation of PILCO for the Model-Based Baselines Project☆17Updated 5 years ago