A short variational proof of equivalence between policy gradients and soft Q learning

22 Dec 2017Pierre H. RichemondBrendan Maginnis

Two main families of reinforcement learning algorithms, Q-learning and policy gradients, have recently been proven to be equivalent when using a softmax relaxation on one part, and an entropic regularization on the other. We relate this result to the well-known convex duality of Shannon entropy and the softmax function... (read more)

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