locuslab / stable_dynamicsLinks
Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
☆33Updated 5 years ago
Alternatives and similar repositories for stable_dynamics
Users that are interested in stable_dynamics are comparing it to the libraries listed below
Sorting:
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆46Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆53Updated 4 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Safe Exploration with MPC and Gaussian process models☆89Updated 4 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- A toolbox for inference of switching systems for control☆13Updated 3 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆38Updated 3 years ago
- ☆30Updated last year
- Offline Contextual Bayesian Optimization☆14Updated last year
- ☆21Updated 6 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 5 years ago
- PyTorch implementation of "Learning Stable Deep Dynamics Models" (https://papers.nips.cc/paper/9292-learning-stable-deep-dynamics-models)…☆16Updated 5 years ago
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- ☆45Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 5 years ago
- ☆35Updated 5 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- ☆73Updated 4 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆25Updated last year
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 3 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆90Updated 4 years ago