Credit Assignment Techniques in Stochastic Computation Graphs

7 Jan 2019Théophane WeberNicolas HeessLars BuesingDavid Silver

Stochastic computation graphs (SCGs) provide a formalism to represent structured optimization problems arising in artificial intelligence, including supervised, unsupervised, and reinforcement learning. Previous work has shown that an unbiased estimator of the gradient of the expected loss of SCGs can be derived from a single principle... (read more)

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