savinay95n / Reinforcement-learning-Algorithms-and-Dynamic-Programming
Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied to stabilize an inverted pendulum system and achieve optimal control. So essentially, the concept of Reinforcement Learning Controllers has been established. The Reinforcement Learning Controllers have been comp…
☆111Updated 2 years ago
Alternatives and similar repositories for Reinforcement-learning-Algorithms-and-Dynamic-Programming:
Users that are interested in Reinforcement-learning-Algorithms-and-Dynamic-Programming are comparing it to the libraries listed below
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆91Updated 4 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆67Updated 6 years ago
- Adaptive dynamic programming☆107Updated 2 months ago
- ☆45Updated 3 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆47Updated 9 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆17Updated last year
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆28Updated 5 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆45Updated last year
- Adaptive dynamic programming(ADP) 自适应动态规划☆42Updated 4 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆12Updated 3 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
- Source code for examples in Book "Robust Adaptive Dynamic Programming"☆138Updated 2 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆88Updated 2 years ago
- ☆31Updated 6 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆43Updated 6 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆19Updated 3 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☆76Updated last year
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆13Updated last month
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 years ago
- A MATLAB Class for convenient ADP simulation☆22Updated 7 years ago
- ☆9Updated 7 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆41Updated 2 years ago
- ADP☆9Updated 8 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆47Updated 5 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- Develop agent-based traffic management system by model-free reinforcement learning☆49Updated 4 years ago
- Code to reproduce results in peer-reviewed publications☆18Updated 2 months ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆18Updated 2 years ago
- Adaptive tuning of an aircraft pitch PID controller with Deep Reinforcement Learning Algorithm☆39Updated 4 years ago