adityam / stochastic-control
Course notes for ECSE 506: Stochastic Control and Decision Theory
☆32Updated last month
Alternatives and similar repositories for stochastic-control
Users that are interested in stochastic-control are comparing it to the libraries listed below
Sorting:
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆23Updated last year
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆84Updated 2 years ago
- A free MATLAB toolbox for formulating and solving sums of squares (SOS) optimization programs☆63Updated 2 months ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆15Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆38Updated 3 years ago
- Uncertainty sets for nonlinear dynamical systems☆10Updated 4 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- Online variational GPs☆33Updated last year
- A toolbox for inference of mixture models☆16Updated last year
- Enforcing robust control guarantees within neural network policies☆53Updated 4 years ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year
- A framework for neural network control of dynamical systems over graphs.☆58Updated 2 years ago
- ☆15Updated 6 years ago
- APPM 5630 at CU Boulder☆48Updated this week
- Data-driven dynamical systems toolbox.☆74Updated last week
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- Google AI Princeton control framework☆38Updated 4 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆40Updated 2 years ago
- Bayes-Adaptive Monte-Carlo Planning algorithm☆17Updated 12 years ago
- Reinforcement learning with Deterministic Policy Gradient methods☆9Updated 4 years ago
- Learning dynamical systems from data: Koopman☆16Updated 5 years ago
- Stochastic Optimal Control and Reachability Toolbox Written in Python☆14Updated last year
- Stabilizable Nonlinear Dynamics Learning☆21Updated 5 years ago
- ☆21Updated 6 years ago
- A library for mean-field games.☆51Updated 2 weeks ago
- ☆14Updated last year
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Data Science for Dynamical System Course☆118Updated 7 months ago
- Python interface for ECOS☆59Updated 10 months ago