DiffEqML / torchcontrol
A PyTorch library for all things nonlinear control and reinforcement learning.
☆43Updated 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 …☆32Updated 2 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆67Updated last year
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- ☆34Updated 3 years ago
- Online variational GPs☆31Updated last year
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- ☆44Updated 4 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- ☆39Updated last year
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Model-based reinforcement learning in TensorFlow☆55Updated 3 years ago
- ☆28Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆50Updated last year
- ☆18Updated 2 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆50Updated 3 years ago
- ☆23Updated 4 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- Port-Hamiltonian Approach to Neural Network Training☆22Updated 5 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆107Updated 2 weeks ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆42Updated last year
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- Data-driven dynamical systems toolbox.☆72Updated last month
- Nonparametric Differential Equation Modeling☆53Updated 11 months ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- Symplectic Recurrent Neural Networks☆27Updated 2 years ago
- ☆104Updated 3 years ago
- Mathematical Programming in JAX☆58Updated 2 weeks ago