danielrherber / admm-qpLinks
☆12Updated 8 years ago
Alternatives and similar repositories for admm-qp
Users that are interested in admm-qp are comparing it to the libraries listed below
Sorting:
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆14Updated 3 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆16Updated 4 years ago
- 关于书《强化学习第二版》(作者Richard S. Sutton)每章节的代码实现(matlab版)☆15Updated 5 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆117Updated 3 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆48Updated 10 years ago
- ☆11Updated 7 years ago
- MATLAB Optimal Control codes related to HJB Dynamic Programming to find the optimal path for any state of the system☆32Updated 7 years ago
- Successive Linearization Model Predictive Control☆18Updated 7 years ago
- Distributed Model Predictive Control Toolbox☆78Updated 9 years ago
- Matlab/Octave implementation of Reinforcement learning (Q learning algorithm).☆24Updated 6 years ago
- Q-Learning pendulum swing-up problem with animation as it's learning.☆29Updated 9 years ago
- Source code for examples in Book "Robust Adaptive Dynamic Programming"☆142Updated 2 years ago
- 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
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆51Updated 2 years ago
- Thesis retrieval☆91Updated 4 years ago
- MATLAB implementation of standard particle filter, auxiliary particle filter, mixture particle filter, and out-of-sequence particle filte…☆36Updated 6 years ago
- Masters project, designing a multi-vehicle control system.☆53Updated 7 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆56Updated 7 years ago
- ☆32Updated 5 years ago
- ☆63Updated 6 years ago
- learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)☆82Updated 7 years ago
- Dynamic Programming and Optimal Control (151-0563-01) Fall 2019 Programming Exercise☆18Updated 5 years ago
- Simulate position and attitude control of a SPHERES satellite in formation using a vectorized Dynamic Programming approach☆51Updated 6 years ago
- The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooning☆47Updated 4 years ago
- Data-Driven Predictive Control☆79Updated last year
- Matlab code to control underactuated systems based on a hybrid approach that combines neural networks, reinforcement learning, fuzzy logi…☆29Updated 11 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆48Updated 4 years ago
- Multiple shooting method for solving optimal control problems☆14Updated 6 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆70Updated 7 years ago