Alternatives and similar repositories for bikey:

Users that are interested in bikey are comparing it to the libraries listed below

• sunnyswag / simulink_python
  使用simulink进行环境的模拟，使用python编写强化学习(rl)代码
  ☆19Updated 5 years ago
• pratyushkumar211 / industrial_nnmpc_2021
  Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."
  ☆17Updated 3 years ago
• MrApurvMishra / Reinforcement-Learning-algorithms
  RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB
  ☆11Updated 2 years ago
• aalanwar / Data-Driven-Reachability-Analysis
  Data Driven Reachability Analysis from Noisy Data
  ☆23Updated 9 months ago
• YizeWang / Dynamic-Programming-and-Optimal-Control-Lecture
  Dynamic Programming and Optimal Control (151-​0563-01) Fall 2019 Programming Exercise
  ☆17Updated 4 years ago
• sreachtools / SReachTools
  MATLAB toolbox for stochastic reachability (probabilistic verification and controller synthesis)
  ☆12Updated 4 years ago
• befelix / lyapunov-learning
  Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes
  ☆38Updated 5 years ago
• rlsotlr01 / Bayesian_Optimization_for_MPC_tuning
  Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters
  ☆17Updated 3 years ago
• Eric-Bradford / UKF-SNMPC
  This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
  ☆59Updated last year
• markuskreitzer / Nonlinear-Systems-and-Control
  Files for my Nonlinear Systems and Controls class.
  ☆24Updated 6 years ago
• Eric-Bradford / SDD-GP-MPC
  This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
  ☆50Updated last year
• vdorobantu / lyapy
  Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.
  ☆40Updated 2 years ago
• razo-zapata / fuzzy-RL-wavelet-networks
  Matlab code to control underactuated systems based on a hybrid approach that combines neural networks, reinforcement learning, fuzzy logi…
  ☆27Updated 11 years ago
• anqif / chancecons
  Chance constraints in CVXPY
  ☆17Updated 6 years ago
• liuzuxin / Deep-Q-Network-and-Model-Predictive-Control-Project
  Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform
  ☆12Updated 4 years ago
• RuikunZhou / Unknown_Neural_Lyapunov
  Neural Lyapunov control of unknown nonlinear systems with stability guarantees
  ☆12Updated last year
• locuslab / robust-nn-control
  Enforcing robust control guarantees within neural network policies
  ☆54Updated 3 years ago
• StanfordASL / rompc
  Reduced Order Model Predictive Control
  ☆20Updated 3 years ago
• StanfordASL / CoCo
  ☆36Updated last year
• JaeyoungLee-UoA / PIs-for-RL-Problems-in-CTS
  This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S…
  ☆11Updated 3 years ago
• gtfactslab / IROS2020_LearningBarriers
  Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
  ☆13Updated 4 years ago
• seyedsaleh / ModernControl-UGV
  Modeling, Planning and Nonlinear Control Techniques For Autonomous Vehicles 🎛️🚘
  ☆12Updated 3 years ago
• boranzhao / cbf-sos
  Synthesis of control barrier functions with SOS
  ☆11Updated last year
• StanfordASL / SSMR-for-control
  ☆10Updated 11 months ago
• TUMFTM / LOTUS
  ☆24Updated last year
• alexe15 / ALADIN.m
  ☆37Updated last year
• DLR-VSDC / IEEE-MVC-2023
  IEEE Motor Vehicles Challenge 2023
  ☆16Updated last year
• pierre-haessig / python-dmpc
  simulation tool for Model Predictive Control (MPC) and Distributed MPC, in Python
  ☆24Updated 8 years ago
• monimoyb / RMPCPy
  Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.
  ☆23Updated 2 years ago