Deep Q-Networks
Software / App
An extension of Q-learning that uses deep neural networks to approximate the Q-value function, enabling it to handle high-dimensional state spaces.
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Videos Mentioning Deep Q-Networks
Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RL
Stanford Online
An extension of Q-learning that uses deep neural networks to approximate the Q-value function, enabling it to handle high-dimensional state spaces.
Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based Methods
Stanford Online
A groundbreaking deep reinforcement learning algorithm that uses deep neural networks to approximate Q-functions, enabling learning directly from images.