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Function Approximation in RL

Topic: RL

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Large State Spaces

Approximate value functions.

Linear

Features. Fourier basis. Tile coding.

Non-Linear

Neural networks. Deep Q-learning.

Challenges

Bootstrapping + off-policy + approximation.

Key Takeaways

  1. Function approximation for large spaces
  2. Linear and nonlinear approximation
  3. Deadly triad

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