chennnnnyize-zz / Optimal-Control-via-Neural-Networks
Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach
☆80Updated 6 years ago
Alternatives and similar repositories for Optimal-Control-via-Neural-Networks:
Users that are interested in Optimal-Control-via-Neural-Networks are comparing it to the libraries listed below
- Safe Exploration with MPC and Gaussian process models☆90Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 5 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- ☆70Updated 6 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- ☆19Updated 5 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆83Updated 4 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆133Updated 3 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated last year
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆38Updated 5 years ago
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆41Updated 3 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- Optimal Turn-Right Trajectory using Pontryagin's Maximum Principle☆12Updated last year
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- ☆70Updated 4 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- A nonlinear MPC (NMPC) library for using a neural network as model.☆10Updated 8 months ago
- Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)☆11Updated 3 weeks ago