soc-ucsd / LQG_gradientLinks
Gradient descent algorithms for LQG control
☆14Updated 3 years ago
Alternatives and similar repositories for LQG_gradient
Users that are interested in LQG_gradient are comparing it to the libraries listed below
Sorting:
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Safe Exploration with MPC and Gaussian process models☆89Updated 5 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆135Updated 4 years ago
- ☆36Updated 2 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆72Updated 2 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆65Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆68Updated 2 years ago
- Approximate dynamic programming for stochastic optimal control in Pytorch☆22Updated 2 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆165Updated 3 months ago
- ☆73Updated 7 years ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆26Updated 3 months ago
- Stochastic Optimal Control and Reachability Toolbox Written in Python☆15Updated 2 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆144Updated 2 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆41Updated 2 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 4 months ago
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…☆19Updated 2 weeks ago
- heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers☆13Updated 3 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated 2 years ago
- [NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems☆12Updated last year
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆16Updated last year
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated 2 years ago
- ☆74Updated 5 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 3 years ago