Brain-Like Stochastic Search:
نویسنده
چکیده
* The views expressed herein are those of the author, not the official views of NSF. Abstract – Brain-Like Stochastic Search (BLiSS) refers to this task: given a family of utility functions U(u,), where is a vector of parameters or task descriptors, maximize or minimize U with respect to u, using networks (Option Nets) which input and learn to generate good options u stochastically. This paper discusses why this is crucial to brain-like intelligence (an area funded by NSF) and to many applications, and discusses various possibilities for network design and training.
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تاریخ انتشار 2010