nzolman / sindy-rlLinks
Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.
☆131Updated 2 weeks ago
Alternatives and similar repositories for sindy-rl
Users that are interested in sindy-rl are comparing it to the libraries listed below
Sorting:
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆143Updated 2 years ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆46Updated last year
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆177Updated last year
- A package for computing data-driven approximations to the Koopman operator.☆377Updated 10 months ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆44Updated this week
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆108Updated 7 months ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆185Updated last year
- ☆20Updated 8 months ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆52Updated 3 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆78Updated last year
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆67Updated 2 years ago
- ☆223Updated 2 years ago
- ☆15Updated 4 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 7 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆77Updated last month
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆21Updated last year
- Clone of Ian M. Mitchell's ToolboxLS repository. (https://bitbucket.org/ian_mitchell/toolboxls)☆14Updated 5 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
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆137Updated 4 years ago
- Hamilton-Jacobi reachability analysis in JAX.☆148Updated 10 months ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆31Updated 2 years ago
- A Python package to learn the Koopman operator.☆61Updated 10 months ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆30Updated last year
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆166Updated 3 months ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆61Updated 5 months ago