RickDW / bikeyLinks
Python package for Simulink-based reinforcement learning environments.
☆10Updated 4 years ago
Alternatives and similar repositories for bikey
Users that are interested in bikey are comparing it to the libraries listed below
Sorting:
- 使用simulink进行环境的模拟，使用python编写强化学习(rl)代码☆23Updated 6 years ago
- Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Updated 5 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 3 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Dynamic Programming and Optimal Control (151-0563-01) Fall 2019 Programming Exercise☆18Updated 5 years ago
- MATLAB toolbox for stochastic reachability (probabilistic verification and controller synthesis)☆12Updated 4 years ago
- simulation tool for Model Predictive Control (MPC) and Distributed MPC, in Python☆26Updated 8 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- ☆19Updated 5 years ago
- heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers☆13Updated 3 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆41Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S…☆12Updated 4 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- IEEE Motor Vehicles Challenge 2023☆17Updated 2 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆43Updated 3 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆54Updated 7 years ago
- Predictive Triggering Framework for Distributed Control of Resource Constrained Multi-agent Systems☆12Updated 6 years ago
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 3 years ago
- We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of mu…☆38Updated 5 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 4 years ago
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆25Updated 3 years ago
- Matlab code to control underactuated systems based on a hybrid approach that combines neural networks, reinforcement learning, fuzzy logi…☆29Updated 11 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Linear Model Predictive Control (MPC) examples using Matlab and CVX☆17Updated 9 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated 2 years ago