Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
Prof. Steven L. Brunton
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Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
Steven L. Brunton
University of Washington
Here we describe Q-learning, which is one of the most popular methods in reinforcement learning. Q-learning is a type of temporal difference learning. We discuss other TD algorithms, such as SARSA, and connections to biological learning through dopamine. Q-learning is also one of the most common frameworks for deep reinforcement learning.
Reinforcement learning
Brunton Lab (University of Washington)Cite as
S. L. Brunton (2022, January 14), Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
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Video length 35:34