Alternatives and similar repositories for SNDL:

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

• i-abr / active-learning-koopman
  ☆22Updated 3 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆38Updated 5 years ago
• jhu-asco / optimal_control_framework
  Simple optimal control framework for python
  ☆13Updated 6 years ago
• modestyachts / robust-adaptive-lqr
  Implementation of robust adaptive control methods for the linear quadratic regulator
  ☆38Updated 3 years ago
• anassinator / pddp
  WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
  ☆15Updated 6 months ago
• StanfordASL / CoCo
  ☆36Updated 2 years ago
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆13Updated last year
• StanfordASL / AA203-Examples
  Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.
  ☆49Updated 9 months ago
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆40Updated 2 years ago
• sisl / mechamodlearn
  Structured framework for learning mechanical systems in PyTorch
  ☆24Updated 5 years ago
• vroulet / ilqc
  Iterative Linearized Control Toolbox
  ☆34Updated 6 months ago
• StanfordASL / AA203-Homework
  Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.
  ☆23Updated 8 months ago
• AstroHiro / ncm
  Codes for designing Neural Contraction Metrics (NCMs)
  ☆32Updated 4 years ago
• mhmukadam / dgpmp2
  Differentiable Gaussian Process Motion Planning
  ☆47Updated 3 years ago
• GuanyaShi / Online-Meta-Adaptive-Control
  ☆52Updated 3 years ago
• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆26Updated 2 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• i-abr / mpc-koopman
  Model-based Control using Koopman Operators
  ☆51Updated 4 years ago
• MinRegret / TigerControl
  Google AI Princeton control framework
  ☆38Updated 4 years ago
• wecacuee / Bayesian_CBF
  Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"
  ☆26Updated 2 years ago
• vvrs / MPPIController
  Robot Controls Course Project
  ☆58Updated 3 years ago
• HJReachability / beacls
  ☆40Updated last year
• MatthewPeterKelly / ME149_Spring2018
  Optimal Control for Robotics -- Tufts University -- ME 149 -- Spring 2018
  ☆51Updated 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
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆23Updated last year
• arlk / SafeFeedbackMotionPlanning.jl
  Safe Control for Nonlinear Systems
  ☆18Updated 4 years ago
• jgeisler0303 / DDP-Generator
  Generate taylored code for Differential Dynamic Programming (DDP) aka Iterative Linear Quadratic Gaussian (iLQG) solvers for finite time …
  ☆15Updated 6 years ago
• hanyas / trajopt
  A toolbox for trajectory optimization of dynamical systems
  ☆52Updated 2 years ago
• i-abr / OptimalControlTutorials
  Optimal Control Tutorials
  ☆14Updated 4 years ago
• young-j-park / 18-NeurIPS-APIAE
  ☆21Updated 6 years ago