threemmm / ML-Q-Learning-Robot-in-Maze-MATLABLinks
Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab
☆28Updated 5 years ago
Alternatives and similar repositories for ML-Q-Learning-Robot-in-Maze-MATLAB
Users that are interested in ML-Q-Learning-Robot-in-Maze-MATLAB are comparing it to the libraries listed below
Sorting:
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆70Updated 7 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆48Updated 10 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
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆99Updated 4 years ago
- 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
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆54Updated last year
- Adaptive dynamic programming(ADP) 自适应动态规划☆46Updated 4 years ago
- Adaptive dynamic programming☆132Updated 2 months ago
- ☆48Updated 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 (RL) Course in MATLAB with exercises and solutions☆16Updated 4 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆92Updated 3 years ago
- ☆32Updated 6 years ago
- iman-sharifi-ghb / Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-LearningSystem Identification and Self-Tuning PID Control using NN☆83Updated 2 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆21Updated 2 years ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆30Updated 2 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆26Updated 3 months ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆22Updated 3 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆27Updated 3 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆15Updated 3 years ago
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆16Updated 10 months ago
- Source code for examples in Book "Robust Adaptive Dynamic Programming"☆142Updated 2 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆44Updated 3 years ago
- ☆78Updated 3 years ago
- Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems…☆22Updated 4 years ago
- Develop agent-based traffic management system by model-free reinforcement learning☆49Updated 4 years ago
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆39Updated 2 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆56Updated 7 years ago