matlab-deep-learning / playing-Pong-with-deep-reinforcement-learningLinks
Train a reinforcement learning agent to play a variation of Pong®
☆45Updated 4 months ago
Alternatives and similar repositories for playing-Pong-with-deep-reinforcement-learning
Users that are interested in playing-Pong-with-deep-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Develop agent-based traffic management system by model-free reinforcement learning☆49Updated 4 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
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆70Updated 7 years ago
- Source code for examples in Book "Robust Adaptive Dynamic Programming"☆142Updated 2 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Updated 6 years ago
- Using deep deterministic policy gradients to control a tiltrotor UAV through its transition in continuous state space☆36Updated 5 years ago
- This repository contains series of modules to get started with Reinforcement Learning with MATLAB.☆41Updated 2 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆99Updated 4 years ago
- Studied RL agent-based Guidance Laws and Optimal Control techniques for Surface-to-Air Missile Guidance. Simulated optimal trajectory for…☆32Updated 4 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆53Updated last year
- We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of mu…☆38Updated 5 years ago
- Simulate position and attitude control of a SPHERES satellite in formation using a vectorized Dynamic Programming approach☆51Updated 6 years ago
- ☆32Updated 6 years ago
- ☆48Updated 3 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆25Updated 2 months ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆16Updated 4 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆48Updated 10 years ago
- AI optimized Eigenstructure Assignment based objective function for LQR controller for Active Suspension System for Quarter Car model☆43Updated 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☆80Updated 2 years ago
- learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)☆81Updated 7 years ago
- Q-Learning pendulum swing-up problem with animation as it's learning.☆29Updated 9 years ago
- 强化学习和自适应动态规划资料☆31Updated 5 years ago
- This is a MATLAB-based reinforcement learning framework that includes the Proximal Policy Optimization (PPO) algorithm and its multi-agen…☆22Updated last month
- Adaptive dynamic programming☆130Updated 2 months ago
- Masters project, designing a multi-vehicle control system.☆52Updated 7 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆46Updated 4 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
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 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
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago