Alternatives and similar repositories for ToolboxLS:

Users that are interested in ToolboxLS are comparing it to the libraries listed below

• StanfordASL / hj_reachability
  Hamilton-Jacobi reachability analysis in JAX.
  ☆124Updated 4 months ago
• UCSD-SASLab / HopfReachability
  Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…
  ☆18Updated 2 weeks ago
• williamedwards / autompc
  Automatic Tuning for Data-driven Model Predictive Control
  ☆62Updated last year
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆52Updated 4 years ago
• StanfordASL / AA203-Homework
  Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.
  ☆24Updated 10 months ago
• pnnl / deps_arXiv2020
  Differentiable predictive control (DPC) policy optimization examples.
  ☆53Updated last year
• HJReachability / helperOC
  ☆84Updated last year
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆51Updated 10 months ago
• SFU-MARS / optimized_dp
  Optimizing Dynamic Programming-Based Algorithms
  ☆112Updated last week
• StanfordASL / Adaptive-Control-Oriented-Meta-Learning
  Adaptive control-oriented meta-learning for nonlinear systems
  ☆60Updated 3 years ago
• ZhaomingXie / CDDP
  constraint differential dynamical programming
  ☆29Updated 2 years ago
• StanfordASL / UP
  Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
  ☆11Updated 4 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• Jonas-Nicodemus / PINNs-based-MPC
  We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…
  ☆98Updated last year
• Cafolkes / keedmd
  Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…
  ☆27Updated 2 years ago
• forgi86 / dynonet
  "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
  ☆44Updated 9 months ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• HJReachability / safety_rl
  ☆26Updated 3 years ago
• Cafolkes / koopman_learning_and_control
  Repository for Koopman based learning and nonlinear control
  ☆39Updated 2 years ago
• thowell / optimization_dynamics
  Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
  ☆61Updated 2 years ago
• StanfordASL / neural-network-lyapunov
  Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.
  ☆154Updated this week
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆54Updated 3 years ago
• i-abr / TorchMPC
  Pytorch implementation of Model Predictive Control with learned models
  ☆30Updated 4 years ago
• HaojieSHI98 / DeepKoopmanWithControl
  Soure code for Deep Koopman with Control
  ☆73Updated 2 years ago
• learning-and-control / core
  Python simulation and hardware library for learning and control
  ☆20Updated last year
• UCSD-SASLab / refineCBF
  ☆20Updated 10 months ago
• sundw2014 / C3M
  Learning Certified Control Using Contraction Metric (CoRL 2020)
  ☆31Updated 2 years ago
• MilanKorda / KoopmanMPC
  ☆70Updated 6 years ago
• giorgosmamakoukas / MemoryEfficientStableLDS
  Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
  ☆22Updated 4 years ago
• TobiaMarcucci / pympc
  ☆59Updated 7 months ago