BerkeleyAutomation / rlqpLinks
Accelerating Quadratic Optimization with Reinforcement Learning
☆94Updated 4 years ago
Alternatives and similar repositories for rlqp
Users that are interested in rlqp are comparing it to the libraries listed below
Sorting:
- Enforcing robust control guarantees within neural network policies☆56Updated 4 years ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆53Updated 9 months ago
- ☆58Updated 4 years ago
- ☆38Updated 2 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆174Updated 8 months ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- Formal Verification of Neural Feedback Loops (NFLs)☆82Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆70Updated 4 years ago
- Differentiable Gaussian Process Motion Planning☆51Updated 4 years ago
- Iterative Linearized Control Toolbox☆38Updated last year
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆27Updated 8 months ago
- A toolbox for trajectory optimization of dynamical systems☆54Updated 3 years ago
- Automated Robust Co-design for Cyberphysical Systems☆31Updated 3 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆144Updated 4 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆42Updated 3 years ago
- Course notes for AA203☆157Updated 5 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 5 years ago
- ☆73Updated 5 years ago
- Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928☆66Updated 3 years ago
- Optimal Control Tutorials☆15Updated 5 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆182Updated 2 years ago
- Optimizing Dynamic Programming-Based Algorithms☆130Updated 4 months ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated last year
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆85Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆72Updated 2 years ago
- ☆43Updated 8 months ago
- Sampling based Model Predictive Control package for Model-Based RL research☆56Updated 5 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…☆21Updated 5 months ago