vmartinezalvarez / DyNODE
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
☆23Updated 4 years ago
Alternatives and similar repositories for DyNODE:
Users that are interested in DyNODE are comparing it to the libraries listed below
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆35Updated 2 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆52Updated last year
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆40Updated last year
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- ☆35Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆88Updated 4 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆16Updated 4 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆14Updated 5 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆38Updated 5 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated 2 years ago
- ☆15Updated 4 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- ☆36Updated 2 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆25Updated 2 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- ☆72Updated 4 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆51Updated 3 years ago
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- ☆39Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago