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Reinforcement Learning for Engineers

Steve Brunton (University of Washington) · 8 videos

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Reinforcement learning explained from an engineer's point of view: value functions, policy gradients, Q-learning and deep RL, linked back to optimal control.

#reinforcement learning #control

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