befelix / safe-explorationLinks
Safe Exploration with MPC and Gaussian process models
☆89Updated 4 years ago
Alternatives and similar repositories for safe-exploration
Users that are interested in safe-exploration are comparing it to the libraries listed below
Sorting:
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- Implementation of robust adaptive control methods for the linear quadratic regulator☆38Updated 3 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 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…☆70Updated last year
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆54Updated 4 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated 2 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆141Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- ☆73Updated 5 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆167Updated last year
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆87Updated 4 years ago
- Safe reinforcement learning with stability guarantees☆232Updated 3 years ago
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- ☆37Updated 10 months ago
- ☆87Updated 2 years ago
- ☆24Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆67Updated 2 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆175Updated last year
- ☆291Updated 2 years ago
- A toolbox for trajectory optimization of dynamical systems☆53Updated 3 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆99Updated this week
- A library to benchmark reinforcement learning algorithms☆21Updated 7 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆41Updated 2 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆28Updated 2 years ago
- MPC with Gaussian Process☆220Updated 6 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆41Updated 4 years ago