Alternatives and similar repositories for stochastic-control

Users that are interested in stochastic-control are comparing it to the libraries listed below

• donken / NeuralOC
  A Neural Network Approach for Real-Time High-Dimensional Optimal Control
  ☆27Updated 3 years ago
• sklus / d3s
  Data-driven dynamical systems toolbox.
  ☆78Updated last month
• cvxgrp / cocp
  Source code for the examples accompanying the paper "Learning convex optimization control policies."
  ☆85Updated 3 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 6 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆111Updated 4 months ago
• PerformanceEstimation / Performance-Estimation-Toolbox
  Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…
  ☆56Updated last year
• asikist / nnc
  A framework for neural network control of dynamical systems over graphs.
  ☆56Updated 3 years ago
• osqp / osqp-python
  Python interface for OSQP
  ☆125Updated 3 weeks ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆137Updated 6 months ago
• ivandariojr / LyapunovLearning
  ☆45Updated 2 years ago
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆52Updated 4 months ago
• cagatayyildiz / npode
  Learning unknown ODE models with Gaussian processes
  ☆27Updated 7 years ago
• yuanchenyang / SumOfSquares.py
  Python implementation of Sum-of-Squares optimization built on picos
  ☆38Updated last year
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• JoeMWatson / input-inference-for-control
  Input Inference for Control (i2c), a control-as-inference framework for optimal control
  ☆25Updated 2 years ago
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆55Updated 4 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 …
  ☆16Updated 2 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆56Updated last year
• oxfordcontrol / SOSTOOLS
  A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs
  ☆73Updated 2 months ago
• radar-research-lab / MFGLib
  A library for mean-field games.
  ☆57Updated last week
• xl402 / deep-koopman
  IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control
  ☆50Updated 5 years ago
• n-takeishi / learning-kis
  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
  ☆40Updated 3 years ago
• thangbui / sparseGP_powerEP
  Unifying sparse approximations for Gaussian process regression and classification, using Power EP
  ☆22Updated 9 years ago
• embotech / ecos-python
  Python interface for ECOS
  ☆60Updated last year
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆64Updated 2 weeks ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 3 years ago
• bemporad / jax-sysid
  A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
  ☆53Updated 2 months ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆134Updated this week
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆25Updated 10 years ago
• Pdbz199 / Koopman-RL-Old
  Data-driven Koopman control theory applied to reinforcement learning!
  ☆34Updated 2 years ago