milutter / deep_lagrangian_networks
Open-source implementation of Deep Lagrangian Networks (DeLaN)
☆99Updated 5 months ago
Alternatives and similar repositories for deep_lagrangian_networks:
Users that are interested in deep_lagrangian_networks are comparing it to the libraries listed below
- We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.☆37Updated 10 months ago
- Soure code for Deep Koopman with Control☆80Updated 2 years ago
- Cross Entropy Method implemented in pytorch☆37Updated 3 years ago
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆14Updated 5 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated 2 years ago
- Robot Reinforcement Learning on the Constraint Manifold☆50Updated 3 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆24Updated 3 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆156Updated this week
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆30Updated 6 months ago
- Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetri…☆12Updated last month
- ☆24Updated 3 years ago
- Accompanying code for the publication "MPC-Net: A First Principles Guided Policy Search"☆89Updated 5 years ago
- Sampling based model predictive control (MPC) using MuJoCo simulator☆35Updated last year
- ☆55Updated 3 years ago
- ☆14Updated last year
- ☆142Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆62Updated 3 years ago
- ☆46Updated 9 months ago
- Lyapunov-stable Neural Control for State and Output Feedback☆67Updated 9 months ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆68Updated 5 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆132Updated 3 years ago
- ☆74Updated last year
- Trajectory optimization algorithms for robotic control.☆109Updated 2 years ago
- improved Cross Entropy Method for trajectory optimization☆74Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆39Updated last year
- Code for the cases presented in the paper "Elastica: A compliant mechanics environment for soft robotic control"☆26Updated 2 years ago
- State-of-the-art method for model-based dexterous manipulation☆93Updated 8 months ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆96Updated 5 years ago