function-approximation

1 free lesson tagged function-approximation across AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.

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Policy Gradients and Deep RL

Tabular methods break down when the state space is continuous or astronomical in size. Learn how neural networks extend RL via DQN, how the policy gradient theorem makes it possible to differentiate through stochastic policies, and where actor-critic, PPO, and the deadly triad fit into the picture.

10 steps·~15 min

Policy Gradients and Deep RL

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