apizbakar / Soft-Actor-Critic-Reinforcement-Learning-Mobile-Robot-NavigationLinks
This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the SAC algorithm, see Soft Actor Critic(SAC) Agents. This example scenario trains a mobile robot to navigate from location A to location B to avoid obstacles given range sensor readings that detect obstacles in th…
☆16Updated 4 years ago
Alternatives and similar repositories for Soft-Actor-Critic-Reinforcement-Learning-Mobile-Robot-Navigation
Users that are interested in Soft-Actor-Critic-Reinforcement-Learning-Mobile-Robot-Navigation are comparing it to the libraries listed below
Sorting:
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆16Updated 7 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆20Updated 2 years ago
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆13Updated 8 months ago
- Adaptive dynamic programming（ADP） 自适应动态规划☆46Updated 4 years ago
- Adaptive dynamic programming☆126Updated 3 weeks ago
- ☆11Updated 7 years ago
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆25Updated 3 years ago
- EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-UncertaintQuadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty☆13Updated 11 months ago
- A MATLAB Class for convenient ADP simulation☆27Updated 8 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- ☆16Updated last year
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆96Updated 4 years ago
- ☆21Updated 3 years ago
- ☆48Updated 3 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆20Updated 2 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆51Updated 6 years ago
- A path following simulation for autonomous surface vehicle on Matlab/Simulink☆29Updated 2 years ago
- This is a official code implementation for Nonlinear RISE based Integral Reinforcement Learning algorithms for perturbed Bilateral Teleop…☆20Updated 5 months ago
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 5 years ago
- A data-driven method for linear quadratic control with state and control constraints☆12Updated 2 years ago
- Code to reproduce results in peer-reviewed publications☆22Updated 6 months ago
- This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically t…☆51Updated 9 months ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆19Updated 3 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
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆34Updated 3 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆23Updated last month
- Nonlinear Model Predictive Tracking Controller for AUV☆22Updated 7 years ago
- Adaptive Dynamic Programming Algorithms and Simulations☆16Updated 4 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆22Updated last year