Deep Reinforcement Learning - Search Videos

Lecture 14 | Deep Reinforcement Learning

YouTubeStanford University School of Engineering

Lecture 14 | Deep Reinforcement Learning

In Lecture 14 we move from supervised learning to reinforcement learning (RL), in which an agent must learn to interact with an environment in order to maximize its reward. We formalize reinforcement learning using the language of Markov Decision Processes (MDPs), policies, value functions, and Q-Value functions. We discuss different algorithms ...

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