A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab
☆50May 8, 2015Updated 11 years ago
Alternatives and similar repositories for Q-Learning-Algorithm-Implementation-in-MATLAB
Users that are interested in Q-Learning-Algorithm-Implementation-in-MATLAB are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Dec 17, 2019Updated 6 years ago
- Matlab/Octave implementation of Reinforcement learning (Q learning algorithm).☆25May 8, 2019Updated 7 years ago
- Code used to simulate the results published in IEEE Xplore paper title: Distributed Caching based on Decentralized Learning Automata☆17Oct 14, 2017Updated 9 years ago
- Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, …☆10Feb 7, 2022Updated 4 years ago
- Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …☆37Feb 23, 2016Updated 10 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Temporal Difference Learning and Basic Reinforcement Learning Demos in Matlab☆16Jul 27, 2016Updated 10 years ago
- Q-Learning pendulum swing-up problem with animation as it's learning.☆29Jun 27, 2016Updated 10 years ago
- ☆79Aug 6, 2017Updated 9 years ago
- Codes and instances used for Paper 'Modeling and Solving the Traveling Salesman Problem for a Plug-in Hybrid Electric Vehicle Considering…☆13Mar 25, 2024Updated 2 years ago
- Reinforcement Learning-based Mobile Robot Navigation☆24Oct 31, 2017Updated 8 years ago
- This code creates Zadoff-Chu sequence which are used in LTE Uplink paradigm (Primary Synchronization Signal (PSS), random access preamble…☆13Oct 27, 2019Updated 7 years ago
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆14Jul 16, 2022Updated 4 years ago
- Auto tuning of PID parameters of a quad-rotor using Q-learning☆33Apr 11, 2020Updated 6 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆18Jul 30, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- 2048 playing agent using deep Q-learning in Matlab.☆41Apr 24, 2016Updated 10 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆73Jun 1, 2018Updated 8 years ago
- ☆11May 1, 2019Updated 7 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆121May 26, 2022Updated 4 years ago
- Based on "Model-Free Q-Learning Designs for Linear Discrete-Time Zero-Sum Games With Application to H-Infinity Control" by Al-Tamimi et a…☆19Dec 13, 2021Updated 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）☆17Nov 6, 2019Updated 6 years ago
- This repository contains series of modules to get started with Reinforcement Learning with MATLAB.☆43Nov 15, 2022Updated 3 years ago
- The project proposed automated vehicle driving strategies based on reinforcement learning.☆17Mar 14, 2021Updated 5 years ago
- The summer project of SDU by Hu Shurui, Wang Yunping, He Lijie, Zhu Junyi, Hou Wei☆13Aug 10, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.☆24Feb 25, 2020Updated 6 years ago
- D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement…☆35Jul 26, 2019Updated 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…☆27Mar 15, 2022Updated 4 years ago
- Energy-efficient powertrain control of hybrid vehicles through traffic jams☆15Aug 16, 2019Updated 7 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆38Jul 18, 2025Updated last year
- Evaluation of Coverage probability of unified HetNet Model by simulation and theory☆18May 26, 2019Updated 7 years ago
- Simulation of a hydrogen fuel cell vehicle☆11Aug 25, 2016Updated 10 years ago
- Cooperative Energy Management and Eco-driving of Plug-in Hybrid Electric Vehicle via Multi-agent Reinforcement Learning☆34Sep 5, 2022Updated 4 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆109Apr 2, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This is the source code for the paper "Route planning for autonomous surface vessels based on improved artificial fish swarm algorithm".☆15Dec 16, 2023Updated 2 years ago
- Multiple shooting for computationally efficient train trajectory optimization☆22Oct 16, 2026Updated 2 weeks ago
- Optimizing a hybrid electrical vehicle using matlab and the dynamic programming algorithm☆38Aug 22, 2011Updated 15 years ago
- CATS Lab ACC data is the car-following trajectory dataset including both mix traffic and pure AV traffic.☆11Jan 6, 2023Updated 3 years ago
- Based on PUMA560☆11Feb 9, 2021Updated 5 years ago
- This is the source code to simulate model-based (MB) and model-free (MF) reinforcement learning algorithms with replays in grid worlds.☆15Dec 19, 2022Updated 3 years ago
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆16Apr 26, 2020Updated 6 years ago