DiffEqML / torchcontrol
A PyTorch library for all things nonlinear control and reinforcement learning.
☆45Updated 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 …☆34Updated 2 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆66Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- Online variational GPs☆31Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆68Updated 3 months ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆50Updated last year
- ☆105Updated 3 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
- ☆28Updated 2 years ago
- ☆39Updated last year
- Model-based reinforcement learning in TensorFlow☆55Updated 3 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆111Updated last month
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Port-Hamiltonian Approach to Neural Network Training☆22Updated 5 years ago
- ☆45Updated 4 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- ☆211Updated last year
- ☆34Updated 3 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- ☆23Updated 4 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Mathematical Programming in JAX☆69Updated last week
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆83Updated 2 years ago
- ☆15Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- Data-driven dynamical systems toolbox.☆73Updated 3 weeks ago