ivandariojr / LyapunovLearningView external linksLinks
☆46Jun 15, 2023Updated 2 years ago
Alternatives and similar repositories for LyapunovLearning
Users that are interested in LyapunovLearning are comparing it to the libraries listed below
Sorting:
- ☆25May 23, 2024Updated last year
- Segway Simulation Environment☆11Dec 31, 2020Updated 5 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆175Jun 2, 2025Updated 8 months ago
- ☆15Jan 21, 2026Updated 3 weeks ago
- Example Systems using PowerDynamics.jl☆12Oct 10, 2022Updated 3 years ago
- ☆31Oct 16, 2021Updated 4 years ago
- Code for paper "Model-free Safe Control for Zero-Violation Reinforcement Learning" at Conference on Robot Learning (CoRL) 2021.☆10Nov 1, 2021Updated 4 years ago
- KVXOPT -- Python Software for Convex Optimization containing more wrappers suite-sparse.☆13Updated this week
- Primal-Dual Policy Learning Simple Example☆15Apr 12, 2021Updated 4 years ago
- ☆14Jun 8, 2023Updated 2 years ago
- ☆14Aug 7, 2025Updated 6 months ago
- ☆12Jul 29, 2021Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆56Apr 24, 2021Updated 4 years ago
- Repository Associated with the Paper☆15Apr 24, 2022Updated 3 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆67Sep 12, 2023Updated 2 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆111May 12, 2023Updated 2 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆144May 3, 2021Updated 4 years ago
- ☆17Mar 11, 2019Updated 6 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- Companion code for Closed-Loop Koopman Operator Approximation☆16Mar 24, 2024Updated last year
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- ☆15Dec 15, 2020Updated 5 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆22Oct 23, 2023Updated 2 years ago
- Bayesian Learning-Based Adaptive Control for Safety Critical Systems☆20Nov 23, 2019Updated 6 years ago
- HIVE™ is a mobility services research platform☆26Nov 6, 2023Updated 2 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆180Jul 10, 2024Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Oct 26, 2020Updated 5 years ago
- ☆22Feb 4, 2025Updated last year
- ☆19Jun 24, 2022Updated 3 years ago
- Reduced-space optimization, for optimal power flow.☆21Mar 30, 2025Updated 10 months ago
- Safety Critical Control of Autonomous Vehicles by Control Barrier Functions☆16Sep 9, 2022Updated 3 years ago
- Gradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆19Nov 17, 2024Updated last year
- ☆110Aug 26, 2024Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Apr 8, 2022Updated 3 years ago
- ☆24Jan 20, 2022Updated 4 years ago
- Control Synthesis from Formal Specifications using Reinforcement Learning☆24Aug 15, 2025Updated 6 months ago
- stochastic 2-D motion planning with a POMDP framework☆22Oct 8, 2018Updated 7 years ago
- Matlab code to generate distributed power flow problems.☆27Jul 13, 2023Updated 2 years ago
- Code and data for People construct simplified mental representations to plan☆23Oct 30, 2023Updated 2 years ago