tony23545 / DeepKoopmanLinks
Use deep learning to learn Koopman operator and LQR for optimal control
☆16Updated 5 years ago
Alternatives and similar repositories for DeepKoopman
Users that are interested in DeepKoopman are comparing it to the libraries listed below
Sorting:
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- Model-based Control using Koopman Operators☆52Updated 5 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 8 months ago
- ☆24Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆49Updated 2 years ago
- We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.☆45Updated last year
- Soure code for Deep Koopman with Control☆93Updated 3 years ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 6 years ago
- ☆74Updated 7 years ago
- ☆14Updated 8 months ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆145Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated 2 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆66Updated 3 years ago
- Code for CDC2022 submission☆11Updated last month
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆138Updated 4 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆69Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆69Updated 2 years ago
- ☆30Updated 4 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆22Updated 2 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆91Updated 4 years ago
- Safe Exploration with MPC and Gaussian process models☆88Updated 5 years ago
- Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems☆13Updated 5 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆42Updated 6 years ago
- [NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems☆13Updated last year
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago