ajthor / socks
Stochastic Optimal Control and Reachability Toolbox Written in Python
☆13Updated last year
Related projects ⓘ
Alternatives and complementary repositories for socks
- Enforcing robust control guarantees within neural network policies☆52Updated 3 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆54Updated 3 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 4 years ago
- ☆24Updated 3 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆20Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆57Updated last year
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆56Updated last year
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆25Updated 2 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆35Updated 2 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated last year
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated 3 months ago
- Pytorch implementation of Model Predictive Control with learned models☆28Updated 4 years ago
- Model-based Control using Koopman Operators☆46Updated 4 years ago
- ☆49Updated 2 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆37Updated last year
- Safe Exploration with MPC and Gaussian process models☆88Updated 4 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆22Updated 5 months ago
- ☆20Updated 3 years ago
- ☆22Updated 2 years ago
- ☆14Updated 2 years ago
- ☆35Updated last year
- Repository for Koopman based learning and nonlinear control☆37Updated last year
- A python library for control from Signal Temporal Logic (STL) specifications☆35Updated 2 years ago
- Stabilizable Nonlinear Dynamics Learning☆21Updated 5 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆13Updated last year
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated 7 months ago
- Formal Verification of Neural Feedback Loops (NFLs)☆77Updated last month
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 4 years ago
- A toolbox for trajectory optimization of dynamical systems☆50Updated 2 years ago