DQN (Deep Q-Network) theory and implementation. Using DQN with ROS and Gazebo.

Deep Q-Learning/Deep Q-Network (DQN) Explained | Python Pytorch Deep Reinforcement Learning

Deep Q-Network & Dueling network architectures for deep reinforcement learning

A friendly introduction to deep reinforcement learning, Q-networks and policy gradients

Cooperative Multi-Agent RL Simulation Using ROS2 and Gazebo

[Classic] Playing Atari with Deep Reinforcement Learning (Paper Explained)

Autonomous Navigation with Deep Reinforcement Learning Using ROS2

Deep Q-Networks Explained!

Deep Q Learning is Simple with PyTorch | Full Tutorial 2020

Training an unbeatable AI in Trackmania

Autoencoders in Python with Tensorflow/Keras

Using Transformer in a Multi-Agent Cooperative Task

Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning

Policy Gradient Theorem Explained - Reinforcement Learning

Easy SLAM with ROS using slam_toolbox

ROS2 Nav2 - Navigation Stack in 1 Hour [Crash Course]

Q-Learning Tutorial in Python - Reinforcement Learning

【機器學習2021】卷積神經網路 (Convolutional Neural Networks, CNN)

Depth First Search (DFS) Explained: Algorithm, Examples, and Code

But what is a neural network? | Chapter 1, Deep learning

MIT 6.S191: Reinforcement Learning