DiffEqML / torchcontrol
A PyTorch library for all things nonlinear control and reinforcement learning.
☆46Updated 3 years ago
Alternatives and similar repositories for torchcontrol:
Users that are interested in torchcontrol are comparing it to the libraries listed below
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆35Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆26Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆73Updated 5 months ago
- Online variational GPs☆32Updated last year
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆66Updated last year
- ☆45Updated 4 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- ☆40Updated last year
- A framework for neural network control of dynamical systems over graphs.☆58Updated 2 years ago
- ☆19Updated 2 years ago
- Data-driven dynamical systems toolbox.☆74Updated last week
- Model-based reinforcement learning in TensorFlow☆55Updated 3 years ago
- A Python package to learn the Koopman operator.☆55Updated 5 months ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆113Updated 2 months ago
- ☆29Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆52Updated last year
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆31Updated 2 weeks ago
- Mathematical Programming in JAX☆74Updated last month
- Nonparametric Differential Equation Modeling☆53Updated last year
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- ☆15Updated 4 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- ☆36Updated 2 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year